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24,202 | Development of a multi-user handwriting recognition system using
Tesseract open source OCR engine | cs.CV | The objective of the paper is to recognize handwritten samples of lower case
Roman script using Tesseract open source Optical Character Recognition (OCR)
engine under Apache License 2.0. Handwritten data samples containing isolated
and free-flow text were collected from different users. Tesseract is trained
with user-s... | computer science |
24,203 | Recognition of Handwritten Roman Script Using Tesseract Open source OCR
Engine | cs.CV | In the present work, we have used Tesseract 2.01 open source Optical
Character Recognition (OCR) Engine under Apache License 2.0 for recognition of
handwriting samples of lower case Roman script. Handwritten isolated and
free-flow text samples were collected from multiple users. Tesseract is trained
to recognize user-s... | computer science |
24,204 | Recognition of Handwritten Textual Annotations using Tesseract Open
Source OCR Engine for information Just In Time (iJIT) | cs.CV | Objective of the current work is to develop an Optical Character Recognition
(OCR) engine for information Just In Time (iJIT) system that can be used for
recognition of handwritten textual annotations of lower case Roman script.
Tesseract open source OCR engine under Apache License 2.0 is used to develop
user-specific ... | computer science |
24,205 | Development of a Multi-User Recognition Engine for Handwritten Bangla
Basic Characters and Digits | cs.CV | The objective of the paper is to recognize handwritten samples of basic
Bangla characters using Tesseract open source Optical Character Recognition
(OCR) engine under Apache License 2.0. Handwritten data samples containing
isolated Bangla basic characters and digits were collected from different
users. Tesseract is tra... | computer science |
24,206 | Recognition of handwritten Roman Numerals using Tesseract open source
OCR engine | cs.CV | The objective of the paper is to recognize handwritten samples of Roman
numerals using Tesseract open source Optical Character Recognition (OCR)
engine. Tesseract is trained with data samples of different persons to generate
one user-independent language model, representing the handwritten Roman
digit-set. The system i... | computer science |
24,207 | Development of an automated Red Light Violation Detection System (RLVDS)
for Indian vehicles | cs.CV | Integrated Traffic Management Systems (ITMS) are now implemented in different
cities in India to primarily address the concerns of road-safety and security.
An automated Red Light Violation Detection System (RLVDS) is an integral part
of the ITMS. In our present work we have designed and developed a complete
system for... | computer science |
24,208 | A novel scheme for binarization of vehicle images using hierarchical
histogram equalization technique | cs.CV | Automatic License Plate Recognition system is a challenging area of research
now-a-days and binarization is an integral and most important part of it. In
case of a real life scenario, most of existing methods fail to properly
binarize the image of a vehicle in a congested road, captured through a CCD
camera. In the cur... | computer science |
24,209 | Survey of Nearest Neighbor Techniques | cs.CV | The nearest neighbor (NN) technique is very simple, highly efficient and
effective in the field of pattern recognition, text categorization, object
recognition etc. Its simplicity is its main advantage, but the disadvantages
can't be ignored even. The memory requirement and computation complexity also
matter. Many tech... | computer science |
24,210 | Repairing People Trajectories Based on Point Clustering | cs.CV | This paper presents a method for improving any object tracking algorithm
based on machine learning. During the training phase, important trajectory
features are extracted which are then used to calculate a confidence value of
trajectory. The positions at which objects are usually lost and found are
clustered in order t... | computer science |
24,211 | A Fast Decision Technique for Hierarchical Hough Transform for Line
Detection | cs.CV | Many techniques have been proposed to speedup the performance of classic
Hough Transform. These techniques are primarily based on converting the voting
procedure to a hierarchy based voting method. These methods use approximate
decision-making process. In this paper, we propose a fast decision making
process that enhan... | computer science |
24,212 | Face Synthesis (FASY) System for Determining the Characteristics of a
Face Image | cs.CV | This paper aims at determining the characteristics of a face image by
extracting its components. The FASY (FAce SYnthesis) System is a Face Database
Retrieval and new Face generation System that is under development. One of its
main features is the generation of the requested face when it is not found in
the existing d... | computer science |
24,213 | Quotient Based Multiresolution Image Fusion of Thermal and Visual Images
Using Daubechies Wavelet Transform for Human Face Recognition | cs.CV | This paper investigates the multiresolution level-1 and level-2 Quotient
based Fusion of thermal and visual images. In the proposed system, the method-1
namely "Decompose then Quotient Fuse Level-1" and the method-2 namely
"Decompose-Reconstruct then Quotient Fuse Level-2" both work on wavelet
transformations of the vi... | computer science |
24,214 | Fusion of Daubechies Wavelet Coefficients for Human Face Recognition | cs.CV | In this paper fusion of visual and thermal images in wavelet transformed
domain has been presented. Here, Daubechies wavelet transform, called as D2,
coefficients from visual and corresponding coefficients computed in the same
manner from thermal images are combined to get fused coefficients. After
decomposition up to ... | computer science |
24,215 | Fusion of Wavelet Coefficients from Visual and Thermal Face Images for
Human Face Recognition - A Comparative Study | cs.CV | In this paper we present a comparative study on fusion of visual and thermal
images using different wavelet transformations. Here, coefficients of discrete
wavelet transforms from both visual and thermal images are computed separately
and combined. Next, inverse discrete wavelet transformation is taken in order
to obta... | computer science |
24,216 | A Parallel Framework for Multilayer Perceptron for Human Face
Recognition | cs.CV | Artificial neural networks have already shown their success in face
recognition and similar complex pattern recognition tasks. However, a major
disadvantage of the technique is that it is extremely slow during training for
larger classes and hence not suitable for real-time complex problems such as
pattern recognition.... | computer science |
24,217 | Image Pixel Fusion for Human Face Recognition | cs.CV | In this paper we present a technique for fusion of optical and thermal face
images based on image pixel fusion approach. Out of several factors, which
affect face recognition performance in case of visual images, illumination
changes are a significant factor that needs to be addressed. Thermal images are
better in hand... | computer science |
24,218 | Classification of Fused Images using Radial Basis Function Neural
Network for Human Face Recognition | cs.CV | Here an efficient fusion technique for automatic face recognition has been
presented. Fusion of visual and thermal images has been done to take the
advantages of thermal images as well as visual images. By employing fusion a
new image can be obtained, which provides the most detailed, reliable, and
discriminating infor... | computer science |
24,219 | Classification of fused face images using multilayer perceptron neural
network | cs.CV | This paper presents a concept of image pixel fusion of visual and thermal
faces, which can significantly improve the overall performance of a face
recognition system. Several factors affect face recognition performance
including pose variations, facial expression changes, occlusions, and most
importantly illumination c... | computer science |
24,220 | Classification of Log-Polar-Visual Eigenfaces using Multilayer
Perceptron | cs.CV | In this paper we present a simple novel approach to tackle the challenges of
scaling and rotation of face images in face recognition. The proposed approach
registers the training and testing visual face images by log-polar
transformation, which is capable to handle complicacies introduced by scaling
and rotation. Log-p... | computer science |
24,221 | Human Face Recognition using Line Features | cs.CV | In this work we investigate a novel approach to handle the challenges of face
recognition, which includes rotation, scale, occlusion, illumination etc. Here,
we have used thermal face images as those are capable to minimize the affect of
illumination changes and occlusion due to moustache, beards, adornments etc.
The p... | computer science |
24,222 | Bilateral filters: what they can and cannot do | cs.CV | Nonlinear bilateral filters (BF) deliver a fine blend of computational
simplicity and blur-free denoising. However, little is known about their
nature, noise-suppressing properties, and optimal choices of filter parameters.
Our study is meant to fill this gap-explaining the underlying mechanism of
bilateral filtering a... | computer science |
24,223 | Registration of Brain Images using Fast Walsh Hadamard Transform | cs.CV | A lot of image registration techniques have been developed with great
significance for data analysis in medicine, astrophotography, satellite imaging
and few other areas. This work proposes a method for medical image registration
using Fast Walsh Hadamard transform. This algorithm registers images of the
same or differ... | computer science |
24,224 | Multi-environment model estimation for motility analysis of
Caenorhabditis Elegans | cs.CV | The nematode Caenorhabditis elegans is a well-known model organism used to
investigate fundamental questions in biology. Motility assays of this small
roundworm are designed to study the relationships between genes and behavior.
Commonly, motility analysis is used to classify nematode movements and
characterize them qu... | computer science |
24,225 | Improved RANSAC performance using simple, iterative minimal-set solvers | cs.CV | RANSAC is a popular technique for estimating model parameters in the presence
of outliers. The best speed is achieved when the minimum possible number of
points is used to estimate hypotheses for the model. Many useful problems can
be represented using polynomial constraints (for instance, the determinant of a
fundamen... | computer science |
24,226 | A Study on the Effectiveness of Different Patch Size and Shape for Eyes
and Mouth Detection | cs.CV | Template matching is one of the simplest methods used for eyes and mouth
detection. However, it can be modified and extended to become a powerful tool.
Since the patch itself plays a significant role in optimizing detection
performance, a study on the influence of patch size and shape is carried out.
The optimum patch ... | computer science |
24,227 | Neural Network Based Reconstruction of a 3D Object from a 2D Wireframe | cs.CV | We propose a new approach for constructing a 3D representation from a 2D
wireframe drawing. A drawing is simply a parallel projection of a 3D object
onto a 2D surface; humans are able to recreate mental 3D models from 2D
representations very easily, yet the process is very difficult to emulate
computationally. We hypot... | computer science |
24,228 | Video Event Recognition for Surveillance Applications (VERSA) | cs.CV | VERSA provides a general-purpose framework for defining and recognizing
events in live or recorded surveillance video streams. The approach for event
recognition in VERSA is using a declarative logic language to define the
spatial and temporal relationships that characterize a given event or activity.
Doing so requires... | computer science |
24,229 | Ear Identification by Fusion of Segmented Slice Regions using Invariant
Features: An Experimental Manifold with Dual Fusion Approach | cs.CV | This paper proposes a robust ear identification system which is developed by
fusing SIFT features of color segmented slice regions of an ear. The proposed
ear identification method makes use of Gaussian mixture model (GMM) to build
ear model with mixture of Gaussian using vector quantization algorithm and K-L
divergenc... | computer science |
24,230 | An Efficient Automatic Mass Classification Method In Digitized
Mammograms Using Artificial Neural Network | cs.CV | In this paper we present an efficient computer aided mass classification
method in digitized mammograms using Artificial Neural Network (ANN), which
performs benign-malignant classification on region of interest (ROI) that
contains mass. One of the major mammographic characteristics for mass
classification is texture. ... | computer science |
24,231 | Biometric Authentication using Nonparametric Methods | cs.CV | The physiological and behavioral trait is employed to develop biometric
authentication systems. The proposed work deals with the authentication of iris
and signature based on minimum variance criteria. The iris patterns are
preprocessed based on area of the connected components. The segmented image
used for authenticat... | computer science |
24,232 | A Miniature-Based Image Retrieval System | cs.CV | Due to the rapid development of World Wide Web (WWW) and imaging technology,
more and more images are available in the Internet and stored in databases.
Searching the related images by the querying image is becoming tedious and
difficult. Most of the images on the web are compressed by methods based on
discrete cosine ... | computer science |
24,233 | Optimally Training a Cascade Classifier | cs.CV | Cascade classifiers are widely used in real-time object detection. Different
from conventional classifiers that are designed for a low overall
classification error rate, a classifier in each node of the cascade is required
to achieve an extremely high detection rate and moderate false positive rate.
Although there are ... | computer science |
24,234 | Proliferating cell nuclear antigen (PCNA) allows the automatic
identification of follicles in microscopic images of human ovarian tissue | cs.CV | Human ovarian reserve is defined by the population of nongrowing follicles
(NGFs) in the ovary. Direct estimation of ovarian reserve involves the
identification of NGFs in prepared ovarian tissue. Previous studies involving
human tissue have used hematoxylin and eosin (HE) stain, with NGF populations
estimated by human... | computer science |
24,235 | Comparative Study of Statistical Skin Detection Algorithms for
Sub-Continental Human Images | cs.CV | Object detection has been a focus of research in human-computer interaction.
Skin area detection has been a key to different recognitions like face
recognition, human motion detection, pornographic and nude image prediction,
etc. Most of the research done in the fields of skin detection has been trained
and tested on h... | computer science |
24,236 | Local Naive Bayes Nearest Neighbor for Image Classification | cs.CV | We present Local Naive Bayes Nearest Neighbor, an improvement to the NBNN
image classification algorithm that increases classification accuracy and
improves its ability to scale to large numbers of object classes. The key
observation is that only the classes represented in the local neighborhood of a
descriptor contrib... | computer science |
24,237 | A Biomimetic Model of the Outer Plexiform Layer by Incorporating
Memristive Devices | cs.CV | In this paper we present a biorealistic model for the first part of the early
vision processing by incorporating memristive nanodevices. The architecture of
the proposed network is based on the organisation and functioning of the outer
plexiform layer (OPL) in the vertebrate retina. We demonstrate that memristive
devic... | computer science |
24,238 | A multi-feature tracking algorithm enabling adaptation to context
variations | cs.CV | We propose in this paper a tracking algorithm which is able to adapt itself
to different scene contexts. A feature pool is used to compute the matching
score between two detected objects. This feature pool includes 2D, 3D
displacement distances, 2D sizes, color histogram, histogram of oriented
gradient (HOG), color cov... | computer science |
24,239 | POCS Based Super-Resolution Image Reconstruction Using an Adaptive
Regularization Parameter | cs.CV | Crucial information barely visible to the human eye is often embedded in a
series of low-resolution images taken of the same scene. Super-resolution
enables the extraction of this information by reconstructing a single image, at
a high resolution than is present in any of the individual images. This is
particularly use... | computer science |
24,240 | Re-initialization Free Level Set Evolution via Reaction Diffusion | cs.CV | This paper presents a novel reaction-diffusion (RD) method for implicit
active contours, which is completely free of the costly re-initialization
procedure in level set evolution (LSE). A diffusion term is introduced into
LSE, resulting in a RD-LSE equation, to which a piecewise constant solution can
be derived. In ord... | computer science |
24,241 | Improvement of BM3D Algorithm and Employment to Satellite and CFA Images
Denoising | cs.CV | This paper proposes a new procedure in order to improve the performance of
block matching and 3-D filtering (BM3D) image denoising algorithm. It is
demonstrated that it is possible to achieve a better performance than that of
BM3D algorithm in a variety of noise levels. This method changes BM3D algorithm
parameter valu... | computer science |
24,242 | Large Scale Correlation Clustering Optimization | cs.CV | Clustering is a fundamental task in unsupervised learning. The focus of this
paper is the Correlation Clustering functional which combines positive and
negative affinities between the data points. The contribution of this paper is
two fold: (i) Provide a theoretic analysis of the functional. (ii) New
optimization algor... | computer science |
24,243 | Supervised Generative Reconstruction: An Efficient Way To Flexibly Store
and Recognize Patterns | cs.CV | Matching animal-like flexibility in recognition and the ability to quickly
incorporate new information remains difficult. Limits are yet to be adequately
addressed in neural models and recognition algorithms. This work proposes a
configuration for recognition that maintains the same function of conventional
algorithms ... | computer science |
24,244 | Insights from Classifying Visual Concepts with Multiple Kernel Learning | cs.CV | Combining information from various image features has become a standard
technique in concept recognition tasks. However, the optimal way of fusing the
resulting kernel functions is usually unknown in practical applications.
Multiple kernel learning (MKL) techniques allow to determine an optimal linear
combination of su... | computer science |
24,245 | A real time vehicles detection algorithm for vision based sensors | cs.CV | A vehicle detection plays an important role in the traffic control at
signalised intersections. This paper introduces a vision-based algorithm for
vehicles presence recognition in detection zones. The algorithm uses linguistic
variables to evaluate local attributes of an input image. The image attributes
are categorise... | computer science |
24,246 | Vehicles Recognition Using Fuzzy Descriptors of Image Segments | cs.CV | In this paper a vision-based vehicles recognition method is presented.
Proposed method uses fuzzy description of image segments for automatic
recognition of vehicles recorded in image data. The description takes into
account selected geometrical properties and shape coefficients determined for
segments of reference ima... | computer science |
24,247 | A Reduced Reference Image Quality Measure Using Bessel K Forms Model for
Tetrolet Coefficients | cs.CV | In this paper, we introduce a Reduced Reference Image Quality Assessment
(RRIQA) measure based on the natural image statistic approach. A new adaptive
transform called "Tetrolet" is applied to both reference and distorted images.
To model the marginal distribution of tetrolet coefficients Bessel K Forms
(BKF) density i... | computer science |
24,248 | A Geometric Approach For Fully Automatic Chromosome Segmentation | cs.CV | A fundamental task in human chromosome analysis is chromosome segmentation.
Segmentation plays an important role in chromosome karyotyping. The first step
in segmentation is to remove intrusive objects such as stain debris and other
noises. The next step is detection of touching and overlapping chromosomes, and
the fin... | computer science |
24,249 | Zero-Temperature Limit of a Convergent Algorithm to Minimize the Bethe
Free Energy | cs.CV | After the discovery that fixed points of loopy belief propagation coincide
with stationary points of the Bethe free energy, several researchers proposed
provably convergent algorithms to directly minimize the Bethe free energy.
These algorithms were formulated only for non-zero temperature (thus finding
fixed points of... | computer science |
24,250 | Discretization of Parametrizable Signal Manifolds | cs.CV | Transformation-invariant analysis of signals often requires the computation
of the distance from a test pattern to a transformation manifold. In
particular, the estimation of the distances between a transformed query signal
and several transformation manifolds representing different classes provides
essential informati... | computer science |
24,251 | Learning Smooth Pattern Transformation Manifolds | cs.CV | Manifold models provide low-dimensional representations that are useful for
processing and analyzing data in a transformation-invariant way. In this paper,
we study the problem of learning smooth pattern transformation manifolds from
image sets that represent observations of geometrically transformed signals. In
order ... | computer science |
24,252 | Online Adaptive Statistical Compressed Sensing of Gaussian Mixture
Models | cs.CV | A framework of online adaptive statistical compressed sensing is introduced
for signals following a mixture model. The scheme first uses non-adaptive
measurements, from which an online decoding scheme estimates the model
selection. As soon as a candidate model has been selected, an optimal sensing
scheme for the select... | computer science |
24,253 | Multispectral Palmprint Recognition Using a Hybrid Feature | cs.CV | Personal identification problem has been a major field of research in recent
years. Biometrics-based technologies that exploit fingerprints, iris, face,
voice and palmprints, have been in the center of attention to solve this
problem. Palmprints can be used instead of fingerprints that have been of the
earliest of thes... | computer science |
24,254 | Automated PolyU Palmprint sample Registration and Coarse Classification | cs.CV | Biometric based authentication for secured access to resources has gained
importance, due to their reliable, invariant and discriminating features.
Palmprint is one such biometric entity. Prior to classification and
identification registering a sample palmprint is an important activity. In this
paper we propose a compu... | computer science |
24,255 | Dimensionality Reduction and Classification Feature Using Mutual
Information Applied to Hyperspectral Images: A Wrapper Strategy Algorithm
Based on Minimizing the Error Probability Using the Inequality of Fano | cs.CV | In the feature classification domain, the choice of data affects widely the
results. For the Hyperspectral image, the bands dont all contain the
information; some bands are irrelevant like those affected by various
atmospheric effects, see Figure.4, and decrease the classification accuracy.
And there exist redundant ba... | computer science |
24,256 | Performance Evaluation of Random Set Based Pedestrian Tracking
Algorithms | cs.CV | The paper evaluates the error performance of three random finite set based
multi-object trackers in the context of pedestrian video tracking. The
evaluation is carried out using a publicly available video dataset of 4500
frames (town centre street) for which the ground truth is available. The input
to all pedestrian tr... | computer science |
24,257 | Segmentation of ultrasound images of thyroid nodule for assisting fine
needle aspiration cytology | cs.CV | The incidence of thyroid nodule is very high and generally increases with the
age. Thyroid nodule may presage the emergence of thyroid cancer. The thyroid
nodule can be completely cured if detected early. Fine needle aspiration
cytology is a recognized early diagnosis method of thyroid nodule. There are
still some limi... | computer science |
24,258 | Application of Symmetric Uncertainty and Mutual Information to
Dimensionality Reduction and Classification of Hyperspectral Images | cs.CV | Remote sensing is a technology to acquire data for disatant substances,
necessary to construct a model knowledge for applications as classification.
Recently Hyperspectral Images (HSI) becomes a high technical tool that the main
goal is to classify the point of a region. The HIS is more than a hundred
bidirectional mea... | computer science |
24,259 | Implementation of Radon Transformation for Electrical Impedance
Tomography (EIT) | cs.CV | Radon Transformation is generally used to construct optical image (like CT
image) from the projection data in biomedical imaging. In this paper, the
concept of Radon Transformation is implemented to reconstruct Electrical
Impedance Topographic Image (conductivity or resistivity distribution) of a
circular subject. A pa... | computer science |
24,260 | Gender Recognition in Walk Gait through 3D Motion by Quadratic Bezier
Curve and Statistical Techniques | cs.CV | Motion capture is the process of recording the movement of objects or people.
It is used in military, entertainment, sports, and medical applications, and
for validation of computer vision[2] and robotics. In filmmaking and video game
development, it refers to recording actions of human actors, and using that
informati... | computer science |
24,261 | Different Operating Systems Compatible for Image Prepress Process in
Color Management: Analysis and Performance Testing | cs.CV | Image computing has become a real catchphrase over the past few years and the
interpretations of the meaning of the term vary greatly. The Imagecomputing
market is currently rapidly evolving with high growth prospects and almost
daily announcements of new devices and application platforms, which results in
an increasin... | computer science |
24,262 | James-Stein Type Center Pixel Weights for Non-Local Means Image
Denoising | cs.CV | Non-Local Means (NLM) and variants have been proven to be effective and
robust in many image denoising tasks. In this letter, we study the parameter
selection problem of center pixel weights (CPW) in NLM. Our key contributions
are: 1) we give a novel formulation of the CPW problem from the statistical
shrinkage perspec... | computer science |
24,263 | 3D Scene Grammar for Parsing RGB-D Pointclouds | cs.CV | We pose 3D scene-understanding as a problem of parsing in a grammar. A
grammar helps us capture the compositional structure of real-word objects,
e.g., a chair is composed of a seat, a back-rest and some legs. Having multiple
rules for an object helps us capture structural variations in objects, e.g., a
chair can optio... | computer science |
24,264 | A Comparative study of Arabic handwritten characters invariant feature | cs.CV | This paper is practically interested in the unchangeable feature of Arabic
handwritten character. It presents results of comparative study achieved on
certain features extraction techniques of handwritten character, based on Hough
transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained
results show t... | computer science |
24,265 | Fourier-Bessel rotational invariant eigenimages | cs.CV | We present an efficient and accurate algorithm for principal component
analysis (PCA) of a large set of two dimensional images, and, for each image,
the set of its uniform rotations in the plane and its reflection. The algorithm
starts by expanding each image, originally given on a Cartesian grid, in the
Fourier-Bessel... | computer science |
24,266 | Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic
Units for Speech Recognition | cs.CV | In this paper, we propose a novel architecture of wavelet network called
Multi-input Multi-output Wavelet Network MIMOWN as a generalization of the old
architecture of wavelet network. This newel prototype was applied to speech
recognition application especially to model acoustic unit of speech. The
originality of our ... | computer science |
24,267 | Time Complexity Analysis of Binary Space Partitioning Scheme for Image
Compression | cs.CV | Segmentation-based image coding methods provide high compression ratios when
compared with traditional image coding approaches like the transform and sub
band coding for low bit-rate compression applications. In this paper, a
segmentation-based image coding method, namely the Binary Space Partition
scheme, that divides... | computer science |
24,268 | 3D Surface Reconstruction of Underwater Objects | cs.CV | In this paper, we propose a novel technique to reconstruct 3D surface of an
underwater object using stereo images. Reconstructing the 3D surface of an
underwater object is really a challenging task due to degraded quality of
underwater images. There are various reason of quality degradation of
underwater images i.e., n... | computer science |
24,269 | Localisation of Numerical Date Field in an Indian Handwritten Document | cs.CV | This paper describes a method to localise all those areas which may
constitute the date field in an Indian handwritten document. Spatial patterns
of the date field are studied from various handwritten documents and an
algorithm is developed through statistical analysis to identify those sets of
connected components whi... | computer science |
24,270 | NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR | cs.CV | In this paper we propose a robust approach for text extraction and
recognition from video clips which is called Neuro-Fuzzy system for Arabic
Video OCR. In Arabic video text recognition, a number of noise components
provide the text relatively more complicated to separate from the background.
Further, the characters ca... | computer science |
24,271 | A New Algorithm Based Entropic Threshold for Edge Detection in Images | cs.CV | Edge detection is one of the most critical tasks in automatic image analysis.
There exists no universal edge detection method which works well under all
conditions. This paper shows the new approach based on the one of the most
efficient techniques for edge detection, which is entropy-based thresholding.
The main advan... | computer science |
24,272 | New Edge Detection Technique based on the Shannon Entropy in Gray Level
Images | cs.CV | Edge detection is an important field in image processing. Edges characterize
object boundaries and are therefore useful for segmentation, registration,
feature extraction, and identification of objects in a scene. In this paper, an
approach utilizing an improvement of Baljit and Amar method which uses Shannon
entropy o... | computer science |
24,273 | Multi-Sensor Fusion via Reduction of Dimensionality | cs.CV | Large high-dimensional datasets are becoming more and more popular in an
increasing number of research areas. Processing the high dimensional data
incurs a high computational cost and is inherently inefficient since many of
the values that describe a data object are redundant due to noise and inner
correlations. Conseq... | computer science |
24,274 | Visual Recognition of Isolated Swedish Sign Language Signs | cs.CV | We present a method for recognition of isolated Swedish Sign Language signs.
The method will be used in a game intended to help children training signing at
home, as a complement to training with a teacher. The target group is not
primarily deaf children, but children with language disorders. Using sign
language as a s... | computer science |
24,275 | Non-Local Patch Regression: Robust Image Denoising in Patch Space | cs.CV | It was recently demonstrated in [Chaudhury et al.,Non-Local Euclidean
Medians,2012] that the denoising performance of Non-Local Means (NLM) can be
improved at large noise levels by replacing the mean by the robust Euclidean
median. Numerical experiments on synthetic and natural images showed that the
latter consistentl... | computer science |
24,276 | Efficient Superimposition Recovering Algorithm | cs.CV | In this article, we address the issue of recovering latent transparent layers
from superimposition images. Here, we assume we have the estimated
transformations and extracted gradients of latent layers. To rapidly recover
high-quality image layers, we propose an Efficient Superimposition Recovering
Algorithm (ESRA) by ... | computer science |
24,277 | Rate-Distortion Analysis of Multiview Coding in a DIBR Framework | cs.CV | Depth image based rendering techniques for multiview applications have been
recently introduced for efficient view generation at arbitrary camera
positions. Encoding rate control has thus to consider both texture and depth
data. Due to different structures of depth and texture images and their
different roles on the re... | computer science |
24,278 | Matching Through Features and Features Through Matching | cs.CV | This paper addresses how to construct features for the problem of image
correspondence, in particular, the paper addresses how to construct features so
as to maintain the right level of invariance versus discriminability. We show
that without additional prior knowledge of the 3D scene, the right tradeoff
cannot be esta... | computer science |
24,279 | Cobb Angle Measurement of Scoliosis with Reduced Variability | cs.CV | Cobb angle, which is a measure of spinal curvature is the standard method for
quantifying the magnitude of Scoliosis related to spinal deformity in
orthopedics. Determining the Cobb angle through manual process is subject to
human errors. In this work, we propose a methodology to measure the magnitude
of Cobb angle, wh... | computer science |
24,280 | Detection of elliptical shapes via cross-entropy clustering | cs.CV | The problem of finding elliptical shapes in an image will be considered. We
discuss the solution which uses cross-entropy clustering. The proposed method
allows the search for ellipses with predefined sizes and position in the space.
Moreover, it works well for search of ellipsoids in higher dimensions. | computer science |
24,281 | Hyperspectral Data Unmixing Using GNMF Method and Sparseness Constraint | cs.CV | Hyperspectral images contain mixed pixels due to low spatial resolution of
hyperspectral sensors. Mixed pixels are pixels containing more than one
distinct material called endmembers. The presence percentages of endmembers in
mixed pixels are called abundance fractions. Spectral unmixing problem refers
to decomposing t... | computer science |
24,282 | Multilevel Threshold Based Gray Scale Image Segmentation using Cuckoo
Search | cs.CV | Image Segmentation is a technique of partitioning the original image into
some distinct classes. Many possible solutions may be available for segmenting
an image into a certain number of classes, each one having different quality of
segmentation. In our proposed method, multilevel thresholding technique has
been used f... | computer science |
24,283 | Regularized Spherical Polar Fourier Diffusion MRI with Optimal
Dictionary Learning | cs.CV | Compressed Sensing (CS) takes advantage of signal sparsity or compressibility
and allows superb signal reconstruction from relatively few measurements. Based
on CS theory, a suitable dictionary for sparse representation of the signal is
required. In diffusion MRI (dMRI), CS methods were proposed to reconstruct
diffusio... | computer science |
24,284 | Extending UML for Conceptual Modeling of Annotation of Medical Images | cs.CV | Imaging has occupied a huge role in the management of patients, whether
hospitalized or not. Depending on the patients clinical problem, a variety of
imaging modalities were available for use. This gave birth of the annotation of
medical image process. The annotation is intended to image analysis and solve
the problem ... | computer science |
24,285 | A Unified Framework of Elementary Geometric Transformation
Representation | cs.CV | As an extension of projective homology, stereohomology is proposed via an
extension of Desargues theorem and the extended Desargues configuration.
Geometric transformations such as reflection, translation, central symmetry,
central projection, parallel projection, shearing, central dilation, scaling,
and so on are all ... | computer science |
24,286 | Submodularity of a Set Label Disagreement Function | cs.CV | A set label disagreement function is defined over the number of variables
that deviates from the dominant label. The dominant label is the value assumed
by the largest number of variables within a set of binary variables. The
submodularity of a certain family of set label disagreement function is
discussed in this manu... | computer science |
24,287 | Toward Guaranteed Illumination Models for Non-Convex Objects | cs.CV | Illumination variation remains a central challenge in object detection and
recognition. Existing analyses of illumination variation typically pertain to
convex, Lambertian objects, and guarantee quality of approximation in an
average case sense. We show that it is possible to build V(vertex)-description
convex cone mod... | computer science |
24,288 | Major Limitations of Satellite images | cs.CV | Remote sensing has proven to be a powerful tool for the monitoring of the
Earth surface to improve our perception of our surroundings has led to
unprecedented developments in sensor and information technologies. However,
technologies for effective use of the data and for extracting useful
information from the data of R... | computer science |
24,289 | Image Fusion Technologies In Commercial Remote Sensing Packages | cs.CV | Several remote sensing software packages are used to the explicit purpose of
analyzing and visualizing remotely sensed data, with the developing of remote
sensing sensor technologies from last ten years. Accord-ing to literature, the
remote sensing is still the lack of software tools for effective information
extractio... | computer science |
24,290 | Conversion of Braille to Text in English, Hindi and Tamil Languages | cs.CV | The Braille system has been used by the visually impaired for reading and
writing. Due to limited availability of the Braille text books an efficient
usage of the books becomes a necessity. This paper proposes a method to convert
a scanned Braille document to text which can be read out to many through the
computer. The... | computer science |
24,291 | A two-layer Conditional Random Field for the classification of partially
occluded objects | cs.CV | Conditional Random Fields (CRF) are among the most popular techniques for
image labelling because of their flexibility in modelling dependencies between
the labels and the image features. This paper proposes a novel CRF-framework
for image labeling problems which is capable to classify partially occluded
objects. Our a... | computer science |
24,292 | Contrast Enhancement And Brightness Preservation Using Multi-
Decomposition Histogram Equalization | cs.CV | Histogram Equalization (HE) has been an essential addition to the Image
Enhancement world. Enhancement techniques like Classical Histogram Equalization
(CHE), Adaptive Histogram Equalization (ADHE), Bi-Histogram Equalization (BHE)
and Recursive Mean Separate Histogram Equalization (RMSHE) methods enhance
contrast, howe... | computer science |
24,293 | Fuzzy Fibers: Uncertainty in dMRI Tractography | cs.CV | Fiber tracking based on diffusion weighted Magnetic Resonance Imaging (dMRI)
allows for noninvasive reconstruction of fiber bundles in the human brain. In
this chapter, we discuss sources of error and uncertainty in this technique,
and review strategies that afford a more reliable interpretation of the
results. This in... | computer science |
24,294 | Speedy Object Detection based on Shape | cs.CV | This study is a part of design of an audio system for in-house object
detection system for visually impaired, low vision personnel by birth or by an
accident or due to old age. The input of the system will be scene and output as
audio. Alert facility is provided based on severity levels of the objects
(snake, broke gla... | computer science |
24,295 | A Minimal Six-Point Auto-Calibration Algorithm | cs.CV | A non-iterative auto-calibration algorithm is presented. It deals with a
minimal set of six scene points in three views taken by a camera with fixed but
unknown intrinsic parameters. Calibration is based on the image correspondences
only. The algorithm is implemented and validated on synthetic image data. | computer science |
24,296 | Mammogram Edge Detection Using Hybrid Soft Computing Methods | cs.CV | Image segmentation is a crucial step in a wide range of method image
processing systems. It is useful in visualization of the different objects
present in the image. In spite of the several methods available in the
literature, image segmentation still a challenging problem in most of image
processing applications. The ... | computer science |
24,297 | Content Based Image Retrieval System using Feature Classification with
Modified KNN Algorithm | cs.CV | Feature means countenance, remote sensing scene objects with similar
characteristics, associated to interesting scene elements in the image
formation process. They are classified into three types in image processing,
that is low, middle and high. Low level features are color, texture and middle
level feature is shape a... | computer science |
24,298 | Video Text Localization using Wavelet and Shearlet Transforms | cs.CV | Text in video is useful and important in indexing and retrieving the video
documents efficiently and accurately. In this paper, we present a new method of
text detection using a combined dictionary consisting of wavelets and a
recently introduced transform called shearlets. Wavelets provide optimally
sparse expansion f... | computer science |
24,299 | Automated Defect Localization via Low Rank Plus Outlier Modeling of
Propagating Wavefield Data | cs.CV | This work proposes an agnostic inference strategy for material diagnostics,
conceived within the context of laser-based non-destructive evaluation methods,
which extract information about structural anomalies from the analysis of
acoustic wavefields measured on the structure's surface by means of a scanning
laser inter... | computer science |
24,300 | A Novel Equation based Classifier for Detecting Human in Images | cs.CV | Shape based classification is one of the most challenging tasks in the field
of computer vision. Shapes play a vital role in object recognition. The basic
shapes in an image can occur in varying scale, position and orientation. And
specially when detecting human, the task becomes more challenging owing to the
largely v... | computer science |
24,301 | Online Tracking Parameter Adaptation based on Evaluation | cs.CV | Parameter tuning is a common issue for many tracking algorithms. In order to
solve this problem, this paper proposes an online parameter tuning to adapt a
tracking algorithm to various scene contexts. In an offline training phase,
this approach learns how to tune the tracker parameters to cope with different
contexts. ... | computer science |
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