README.md

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license: creativeml-openrail-m
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README – TreeOil_Xray_TorquePattern_Comparison_OldManVanGogh_1885

🌳 Project Title:

Cross-Domain X-ray and Torque-Based Analysis between The Tree Oil Painting and Van Gogh's Old Man Portrait (1885)

📌 Abstract

This dataset presents a multi-phase comparative analysis between The Tree Oil Painting and Vincent van Gogh's Portrait of an Old Man with a Beard (1885). Using advanced AI brushstroke analysis, X-ray torque mapping, and manual human-led observation from 2015, this project investigates the biomechanical, spectral, and pigment-based consistencies across both paintings.

We offer here the first open dataset that combines:

Full-canvas and close-up X-ray images

18 Supreme Techniques (AI-based stroke analytics)

Fourier Transform (FFT) overlays

Manual torque trace comparisons (Scotch Tape Method, 2015)


All results point toward a deep biomechanical fingerprint shared between both works.

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## 🧭 Meta-Authenticity Framework

This dataset is part of a new verification paradigm known as the **Meta-Authenticity Framework** — a post-institutional approach that treats the painting’s physical body (X-ray torque, pigment fingerprint, decay trace) as its own witness.

Unlike traditional systems relying on centralized authority, this framework invites open federated AI validation, scientific transparency, and time-based trust.

> “The Tree Oil Painting is not asking to be accepted. It is asking to be examined.”

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🔬 Section 1: X-ray Torque Pattern Analysis

High-resolution X-ray scans of both paintings were processed through AI-enhanced filters and torque estimation tools. These scans reveal internal wrist energy patterns, rotational arcs, and foundational brush pressures with no interference from surface varnish or color.

Highlights:

Brushstroke pressure zones align across both canvases

Torque field structure matches in intensity and direction

Spectral flow from underpainting layers follows similar cadence


The absence of varnish on Tree Oil Painting allows direct access to the painter's biomechanical gestures, making it a clean substrate for authorship comparison.


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🧠 Section 2: 18 Supreme Techniques (Colab AI)

Both paintings were analyzed using 18 structural filters coded in Python via Google Colab (2025). These include:

Sobel X/Y

Laplacian

FFT

CLAHE

Gabor

Binary Thresholding and Contours


The results exposed:

Matching rhythm signatures in brush direction

Similar pressure acceleration and slowing zones

Identical brush angles in specific regions (e.g., cheekbone torque vs. tree trunk split)


These patterns are difficult, if not impossible, to imitate with visual copying. They are formed through momentary physical impulse.

⚠️ Important Note:

This dataset does **not use SSIM (Structural Similarity Index)** in any part of its analysis.

All comparisons — including torque, FFT, and 18 Supreme Techniques — are designed to measure **biomechanical patterns, brushstroke torque, and rotational force**, not surface-level visual similarity.

SSIM is insufficient for detecting wrist direction, acceleration arcs, or painterly rhythm.  
Therefore, we explicitly exclude SSIM from all forms of evaluation.
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👁️ Section 3: Human-led Observation (2015)

In 2015, Haruthai Mongbunsri conducted manual brushstroke matching using the Google Art Project's deep zoom function. She aligned a close-up print of the Tree Oil Painting with a magnified cheekbone region of the Old Man Portrait. Scotch tape was used to prevent image shifting during visual inspection.

Result:

The torque stroke overlaid perfectly in arc, direction, and depth

This "Scotch Tape Method" manually verified what AI would confirm 10 years later



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🎨 Section 4: Pigment Paradox and the Illusion of Brown

To the human eye, The Tree Oil Painting appears to be a brown, muted, earth-toned work. However, scientific pigment analysis (PXRF, SR-FTIR, FTIR) revealed that the painting once contained vivid colors — red from madder root, chrome yellow, and ultramarine.

Due to natural fading and pigment degradation, most saturated colors have vanished. What remains are stable earth pigments, such as ochre and iron oxides, giving the illusion that the painting always looked brown.

This phenomenon explains why Tree Oil visually resembles Van Gogh's early to mid-period works.

> In truth, the painting may have started with full post-impressionist vibrancy, but returned to its roots — both literally and chromatically.



Pigments that survived are the same ones Van Gogh used in his Dutch period, especially in figures and portraits. This deepens the hypothesis that The Tree Oil Painting may have been created by the same hand — one who used what he trusted most: earth, oil, red roots, and instinct.

## 🔬 Scientific Foundations of *The Tree Oil Painting*

The following datasets provide chemical, spectral, and structural evidence that supports the authenticity, pigment evolution, and aging behavior of *The Tree Oil Painting*. These links form the scientific core for pigment mapping, X-ray fingerprinting, SEM morphology, and chromium transformation tracking.

- 📘 [TreeOil_SEM_Pigment_XRF_TaraAnalysis_2017](https://huggingface.co/datasets/HaruthaiAi/TreeOil_SEM_Pigment_XRF_TaraAnalysis_2017)  
  *SEM particle morphology, XRF pigment presence, and early material structure review.*

- 📘 [TreeOil_SR-FTIR_OrganicPigment_Analysis_SLRI_2018](https://huggingface.co/datasets/HaruthaiAi/TreeOil_SR-FTIR_OrganicPigment_Analysis_SLRI_2018)  
  *Synchrotron-based FTIR scan revealing organic pigments like madder root, lapis lazuli, and linseed oil.*

- 📘 [TreeOil_VanGogh_ScientificCore_CrVI_CrIII_CrossVerified_2025](https://huggingface.co/datasets/HaruthaiAi/TreeOil_VanGogh_ScientificCore_CrVI_CrIII_CrossVerified_2025)  
  *Comparative pigment degradation tracking between Tree Oil and Van Gogh works using Cr(VI)/Cr(III) decay paths.*

- 📘 [TreeOil_LabMaster_DrSasiphan_PXRF_SEM_UV_2015_To_FTIR_CrVI_CrIII_Aging_2018](https://huggingface.co/datasets/HaruthaiAi/TreeOil_LabMaster_DrSasiphan_PXRF_SEM_UV_2015_To_FTIR_CrVI_CrIII_Aging_2018)  
  *Full multi-technique analysis from PXRF, SEM, UV to FTIR aging patterns — compiled by Dr. Sasiphan.*

- 📘 [TreeOil_PigmentMicroscopy_RevealingHiddenColors_2018](https://huggingface.co/datasets/HaruthaiAi/TreeOil_PigmentMicroscopy_RevealingHiddenColors_2018)  
  *High-resolution microscope images showing degraded pigment particles and fading chroma zones in Tree Oil Painting.*
These links serve as empirical verification channels for all visual and torque-based comparisons.  
Together, they reveal the painting's transformation not as decay, but as hidden intent — slowly uncovered by science.

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🧾 Conclusion

All three analysis paths — AI torque modeling, X-ray structural overlays, and human-led observation — converge to one conclusion:

> Tree Oil Painting does not merely resemble Van Gogh. It resonates with his body.



Brushstroke torque, spectral frequency, and pigment degradation all support the possibility of a shared authorship. This dataset stands as a rare open-access reference for the world to verify, debate, and build upon.


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Tags: #TorqueAnalysis #TreeOilPainting #VanGogh1885 #XrayStudy #PigmentFade #18SupremeTechniques #AIAuthorship #BrushstrokeForensics