// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html #include "opencv2/imgproc.hpp" #include "precomp.hpp" #include "opencv2/core/hal/intrin.hpp" #include "opencv2/core/check.hpp" #include "opencv2/core/utils/logger.hpp" #include #include #include #include #include "contours_common.hpp" using namespace std; using namespace cv; //============================================================================== namespace { template struct Trait { }; static const schar MASK8_RIGHT = '\x80'; // 1000 0000 static const schar MASK8_NEW = '\x02'; // 0000 0010 (+2) static const schar MASK8_FLAGS = '\xFE'; // 1111 1110 (-2) static const schar MASK8_BLACK = '\x01'; // 0000 0001 - black pixel static const schar MASK8_LVAL = '\x7F'; // 0111 1111 (for table) template <> struct Trait { static inline bool checkValue(const schar* elem, const schar*) { return *elem != 0; } static inline bool isVal(const schar* elem, const schar*) { return *elem == MASK8_BLACK; } static inline bool isRight(const schar* elem, const schar*) { return (*elem & MASK8_RIGHT) != 0; } static inline void setRightFlag(schar* elem, const schar*, schar nbd) { *elem = nbd | MASK8_RIGHT; } static inline void setNewFlag(schar* elem, const schar*, schar nbd) { *elem = nbd; } }; static const int MASK_RIGHT = 0x80000000; // 100..000 static const int MASK_NEW = 0x40000000; // 010..000 static const int MASK_FLAGS = 0xC0000000; // right + new static const int MASK_VAL = 0x3FFFFFFF; // ~flags - pixel label template <> struct Trait { static inline bool checkValue(const int* elem, const int* elem0) { return (*elem & MASK_VAL) == (*elem0 & MASK_VAL); } static inline bool isVal(const int* elem, const int* elem0) { return *elem == (*elem0 & MASK_VAL); } static inline bool isRight(const int* elem, const int* elem0) { return (*elem & MASK_RIGHT) == (*elem0 & MASK8_RIGHT); } static inline void setRightFlag(int* elem, const int* elem0, int) { *elem = (*elem0 & MASK_VAL) | MASK_NEW | MASK_RIGHT; } static inline void setNewFlag(int* elem, const int* elem0, int) { *elem = (*elem0 & MASK_VAL) | MASK_NEW; } }; } // namespace //============================================================================== namespace { template static bool icvTraceContour(Mat& image, const Point& start, const Point& end, bool isHole) { const T* stop_ptr = image.ptr(end.y, end.x); const size_t step = image.step1(); const T *i0 = image.ptr(start.y, start.x), *i1, *i3, *i4 = NULL; const schar s_end = isHole ? 0 : 4; schar s = s_end; do { s = (s - 1) & 7; i1 = i0 + getDelta(s, step); } while (!Trait::checkValue(i1, i0) && s != s_end); i3 = i0; // check single pixel domain if (s != s_end) { // follow border for (;;) { CV_Assert(i3 != NULL); s = clamp_direction(s); while (s < MAX_SIZE - 1) { ++s; i4 = i3 + getDelta(s, step); CV_Assert(i4 != NULL); if (Trait::checkValue(i4, i0)) break; } if (i3 == stop_ptr) { if (!Trait::isRight(i3, i0)) { // it's the only contour return true; } // check if this is the last contour // encountered during a raster scan const T* i5; schar t = s; while (true) { t = (t - 1) & 7; i5 = i3 + getDelta(t, step); if (*i5 != 0) break; if (t == 0) return true; } } if ((i4 == i0 && i3 == i1)) break; i3 = i4; s = (s + 4) & 7; } // end of border following loop } else { return i3 == stop_ptr; } return false; } template static void icvFetchContourEx(Mat& image, const Point& start, T nbd, Contour& res_contour, const bool isDirect) { const size_t step = image.step1(); T *i0 = image.ptr(start.y, start.x), *i1, *i3, *i4 = NULL; Point pt = res_contour.origin; cv::Rect rect(pt.x, pt.y, pt.x, pt.y); schar s_end = res_contour.isHole ? 0 : 4; schar s = s_end; do { s = (s - 1) & 7; i1 = i0 + getDelta(s, step); } while (!Trait::checkValue(i1, i0) && s != s_end); if (s == s_end) { Trait::setRightFlag(i0, i0, nbd); if (!res_contour.isChain) { res_contour.pts.push_back(pt); } } else { i3 = i0; schar prev_s = s ^ 4; // follow border for (;;) { s_end = s; s = clamp_direction(s); while (s < MAX_SIZE - 1) { ++s; i4 = i3 + getDelta(s, step); CV_Assert(i4 != NULL); if (Trait::checkValue(i4, i0)) break; } s &= 7; // check "right" bound if ((unsigned)(s - 1) < (unsigned)s_end) { Trait::setRightFlag(i3, i0, nbd); } else if (Trait::isVal(i3, i0)) { Trait::setNewFlag(i3, i0, nbd); } if (res_contour.isChain) { res_contour.codes.push_back(s); } else if (s != prev_s || isDirect) { res_contour.pts.push_back(pt); } if (s != prev_s) { // update bounds if (pt.x < rect.x) rect.x = pt.x; else if (pt.x > rect.width) rect.width = pt.x; if (pt.y < rect.y) rect.y = pt.y; else if (pt.y > rect.height) rect.height = pt.y; } prev_s = s; pt += chainCodeDeltas[s]; if (i4 == i0 && i3 == i1) break; i3 = i4; s = (s + 4) & 7; } } rect.width -= rect.x - 1; rect.height -= rect.y - 1; res_contour.brect = rect; } } // namespace //============================================================================== // // Raster->Chain Tree (Suzuki algorithms) // // Structure that is used for sequential retrieving contours from the image. // It supports both hierarchical and plane variants of Suzuki algorithm. struct ContourScanner_ { Mat image; Point offset; // ROI offset: coordinates, added to each contour point Point pt; // current scanner position Point lnbd; // position of the last met contour schar nbd; // current mark val int approx_method1; // approx method when tracing int approx_method2; // final approx method int mode; CTree tree; array ctable; public: ContourScanner_() {} ~ContourScanner_() {} inline bool isInt() const { return (this->mode == RETR_FLOODFILL); } inline bool isSimple() const { return (this->mode == RETR_EXTERNAL || this->mode == RETR_LIST); } CNode& makeContour(schar& nbd_, const bool is_hole, const int x, const int y); bool contourScan(const int prev, int& p, Point& last_pos, const int x, const int y); int findFirstBoundingContour(const Point& last_pos, const int y, const int lval, int par); int findNextX(int x, int y, int& prev, int& p); bool findNext(); static shared_ptr create(Mat img, int mode, int method, Point offset); }; // class ContourScanner_ typedef shared_ptr ContourScanner; shared_ptr ContourScanner_::create(Mat img, int mode, int method, Point offset) { if (mode == RETR_CCOMP && img.type() == CV_32SC1) mode = RETR_FLOODFILL; if (mode == RETR_FLOODFILL) CV_CheckTypeEQ(img.type(), CV_32SC1, "RETR_FLOODFILL mode supports only CV_32SC1 images"); else CV_CheckTypeEQ(img.type(), CV_8UC1, "Modes other than RETR_FLOODFILL and RETR_CCOMP support only CV_8UC1 " "images"); CV_Check(mode, mode == RETR_EXTERNAL || mode == RETR_LIST || mode == RETR_CCOMP || mode == RETR_TREE || mode == RETR_FLOODFILL, "Wrong extraction mode"); CV_Check(method, method == 0 || method == CHAIN_APPROX_NONE || method == CHAIN_APPROX_SIMPLE || method == CHAIN_APPROX_TC89_L1 || method == CHAIN_APPROX_TC89_KCOS, "Wrong approximation method"); Size size = img.size(); CV_Assert(size.height >= 1); shared_ptr scanner = make_shared(); scanner->image = img; scanner->mode = mode; scanner->offset = offset; scanner->pt = Point(1, 1); scanner->lnbd = Point(0, 1); scanner->nbd = 2; CNode& root = scanner->tree.newElem(); CV_Assert(root.self() == 0); root.body.isHole = true; root.body.brect = Rect(Point(0, 0), size); scanner->ctable.fill(-1); scanner->approx_method2 = scanner->approx_method1 = method; if (method == CHAIN_APPROX_TC89_L1 || method == CHAIN_APPROX_TC89_KCOS) scanner->approx_method1 = CV_CHAIN_CODE; return scanner; } CNode& ContourScanner_::makeContour(schar& nbd_, const bool is_hole, const int x, const int y) { const bool isChain = (this->approx_method1 == CV_CHAIN_CODE); // TODO: get rid of old constant const bool isDirect = (this->approx_method1 == CHAIN_APPROX_NONE); const Point start_pt(x - (is_hole ? 1 : 0), y); CNode& res = tree.newElem(); if (isChain) res.body.codes.reserve(200); else res.body.pts.reserve(200); res.body.isHole = is_hole; res.body.isChain = isChain; res.body.origin = start_pt + offset; if (isSimple()) { icvFetchContourEx(this->image, start_pt, MASK8_NEW, res.body, isDirect); } else { schar lval; if (isInt()) { const int start_val = this->image.at(start_pt); lval = start_val & MASK8_LVAL; icvFetchContourEx(this->image, start_pt, 0, res.body, isDirect); } else { lval = nbd_; // change nbd nbd_ = (nbd_ + 1) & MASK8_LVAL; if (nbd_ == 0) nbd_ = MASK8_BLACK | MASK8_NEW; icvFetchContourEx(this->image, start_pt, lval, res.body, isDirect); } res.body.brect.x -= this->offset.x; res.body.brect.y -= this->offset.y; res.ctable_next = this->ctable[lval]; this->ctable[lval] = res.self(); } const Point prev_origin = res.body.origin; res.body.origin = start_pt; if (this->approx_method1 != this->approx_method2) { CV_Assert(res.body.isChain); res.body.pts = approximateChainTC89(res.body.codes, prev_origin, this->approx_method2); res.body.isChain = false; } return res; } bool ContourScanner_::contourScan(const int prev, int& p, Point& last_pos, const int x, const int y) { bool is_hole = false; /* if not external contour */ if (isInt()) { if (!(((prev & MASK_FLAGS) != 0 || prev == 0) && (p & MASK_FLAGS) == 0)) { if ((prev & MASK_FLAGS) != 0 || ((p & MASK_FLAGS) != 0)) return false; if (prev & MASK_FLAGS) { last_pos.x = x - 1; } is_hole = true; } } else { if (!(prev == 0 && p == 1)) { if (p != 0 || prev < 1) return false; if (prev & MASK8_FLAGS) { last_pos.x = x - 1; } is_hole = true; } } if (mode == RETR_EXTERNAL && (is_hole || this->image.at(last_pos) > 0)) { return false; } /* find contour parent */ int main_parent = -1; if (isSimple() || (!is_hole && (mode == RETR_CCOMP || mode == RETR_FLOODFILL)) || last_pos.x <= 0) { main_parent = 0; } else { int lval; if (isInt()) lval = this->image.at(last_pos.y, last_pos.x) & MASK8_LVAL; else lval = this->image.at(last_pos.y, last_pos.x) & MASK8_LVAL; main_parent = findFirstBoundingContour(last_pos, y, lval, main_parent); // if current contour is a hole and previous contour is a hole or // current contour is external and previous contour is external then // the parent of the contour is the parent of the previous contour else // the parent is the previous contour itself. { CNode& main_parent_elem = tree.elem(main_parent); if (main_parent_elem.body.isHole == is_hole) { if (main_parent_elem.parent != -1) { main_parent = main_parent_elem.parent; } else { main_parent = 0; } } } // hole flag of the parent must differ from the flag of the contour { CNode& main_parent_elem = tree.elem(main_parent); CV_Assert(main_parent_elem.body.isHole != is_hole); } } last_pos.x = x - (is_hole ? 1 : 0); schar nbd_ = this->nbd; CNode& new_contour = makeContour(nbd_, is_hole, x, y); if (new_contour.parent == -1) { tree.addChild(main_parent, new_contour.self()); } this->pt.x = !isInt() ? (x + 1) : (x + 1 - (is_hole ? 1 : 0)); this->pt.y = y; this->nbd = nbd_; return true; } int ContourScanner_::findFirstBoundingContour(const Point& last_pos, const int y, const int lval, int par) { const Point end_point(last_pos.x, y); int res = par; int cur = ctable[lval]; while (cur != -1) { CNode& cur_elem = tree.elem(cur); if (((last_pos.x - cur_elem.body.brect.x) < cur_elem.body.brect.width) && ((last_pos.y - cur_elem.body.brect.y) < cur_elem.body.brect.height)) { if (res != -1) { CNode& res_elem = tree.elem(res); const Point origin = res_elem.body.origin; const bool isHole = res_elem.body.isHole; if (isInt()) { if (icvTraceContour(this->image, origin, end_point, isHole)) break; } else { if (icvTraceContour(this->image, origin, end_point, isHole)) break; } } res = cur; } cur = cur_elem.ctable_next; } return res; } int ContourScanner_::findNextX(int x, int y, int& prev, int& p) { const int width = this->image.size().width - 1; if (isInt()) { for (; x < width && ((p = this->image.at(y, x)) == prev || (p & MASK_VAL) == (prev & MASK_VAL)); x++) prev = p; } else { #if (CV_SIMD || CV_SIMD_SCALABLE) if ((p = this->image.at(y, x)) != prev) { return x; } else { v_uint8 v_prev = vx_setall_u8((uchar)prev); for (; x <= width - VTraits::vlanes(); x += VTraits::vlanes()) { v_uint8 vmask = (v_ne(vx_load(this->image.ptr(y, x)), v_prev)); if (v_check_any(vmask)) { x += v_scan_forward(vmask); p = this->image.at(y, x); return x; } } } #endif for (; x < width && (p = this->image.at(y, x)) == prev; x++) ; } return x; } bool ContourScanner_::findNext() { int x = this->pt.x; int y = this->pt.y; int width = this->image.size().width - 1; int height = this->image.size().height - 1; Point last_pos = this->lnbd; int prev = isInt() ? this->image.at(y, x - 1) : this->image.at(y, x - 1); for (; y < height; y++) { int p = 0; for (; x < width; x++) { x = findNextX(x, y, prev, p); if (x >= width) break; if (contourScan(prev, p, last_pos, x, y)) { this->lnbd = last_pos; return true; } else { prev = p; if ((isInt() && (prev & MASK_FLAGS)) || (!isInt() && (prev & MASK8_FLAGS))) { last_pos.x = x; } } } last_pos = Point(0, y + 1); x = 1; prev = 0; } return false; } //============================================================================== void cv::findContours(InputArray _image, OutputArrayOfArrays _contours, OutputArray _hierarchy, int mode, int method, Point offset) { CV_INSTRUMENT_REGION(); // TODO: remove this block in future if (method == 5 /*CV_LINK_RUNS*/) { CV_LOG_ONCE_WARNING(NULL, "LINK_RUNS mode has been extracted to separate function: " "cv::findContoursLinkRuns. " "Calling through cv::findContours will be removed in future."); CV_CheckTrue(!_hierarchy.needed() || mode == RETR_CCOMP, "LINK_RUNS mode supports only simplified hierarchy output (mode=RETR_CCOMP)"); findContoursLinkRuns(_image, _contours, _hierarchy); return; } // TODO: need enum value, need way to return contour starting points with chain codes if (method == 0 /*CV_CHAIN_CODE*/) { CV_LOG_ONCE_WARNING(NULL, "Chain code output is an experimental feature and might change in " "future!"); } // Sanity check: output must be of type vector> CV_Assert((_contours.kind() == _InputArray::STD_VECTOR_VECTOR) || (_contours.kind() == _InputArray::STD_VECTOR_MAT) || (_contours.kind() == _InputArray::STD_VECTOR_UMAT)); const int res_type = (method == 0 /*CV_CHAIN_CODE*/) ? CV_8SC1 : CV_32SC2; if (!_contours.empty()) { CV_CheckTypeEQ(_contours.type(), res_type, "Contours must have type CV_8SC1 (chain code) or CV_32SC2 (other methods)"); } if (_hierarchy.needed()) _hierarchy.clear(); // preprocess Mat image; copyMakeBorder(_image, image, 1, 1, 1, 1, BORDER_CONSTANT | BORDER_ISOLATED, Scalar(0)); if (image.type() != CV_32SC1) threshold(image, image, 0, 1, THRESH_BINARY); // find contours ContourScanner scanner = ContourScanner_::create(image, mode, method, offset + Point(-1, -1)); while (scanner->findNext()) { } contourTreeToResults(scanner->tree, res_type, _contours, _hierarchy); } void cv::findContours(InputArray _image, OutputArrayOfArrays _contours, int mode, int method, Point offset) { CV_INSTRUMENT_REGION(); findContours(_image, _contours, noArray(), mode, method, offset); }