mirror of http://192.168.1.51:8099/lmh188/twain3.0
331 lines
9.3 KiB
C++
331 lines
9.3 KiB
C++
#include "ImageProcess_Public.h"
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namespace hg
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{
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void convexHull(const std::vector<cv::Point>& src, std::vector<cv::Point>& dst, bool clockwise)
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{
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CvMemStorage* storage = cvCreateMemStorage(); //
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CvSeq* ptseq = cvCreateSeq(CV_SEQ_KIND_GENERIC | CV_32SC2, sizeof(CvContour), sizeof(CvPoint), storage);
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for (const cv::Point& item : src)
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{
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CvPoint p;
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p.x = item.x;
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p.y = item.y;
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cvSeqPush(ptseq, &p);
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}
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CvSeq* hull = cvConvexHull2(ptseq, nullptr, clockwise ? CV_CLOCKWISE : CV_COUNTER_CLOCKWISE, 0);
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//dst
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dst.clear();
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for (int i = 0, hullCount = hull->total; i < hullCount; i++)
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dst.push_back(**CV_GET_SEQ_ELEM(CvPoint*, hull, i));
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//storage
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cvReleaseMemStorage(&storage);
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}
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#define R_COLOR 255
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void fillConvexHull(cv::Mat& image, const std::vector<cv::Point>& points)
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{
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uint index_top = 0;
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uint index_bottom = 0;
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for (size_t i = 0, length = points.size(); i < length; i++)
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{
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if (points[i].y < points[index_top].y)
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index_top = i;
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if (points[i].y > points[index_bottom].y)
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index_bottom = i;
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}
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std::vector<cv::Point> edge_left;
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uint temp = index_top;
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while (temp != index_bottom)
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{
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edge_left.push_back(points[temp]);
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temp = (temp + points.size() - 1) % points.size();
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}
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edge_left.push_back(points[index_bottom]);
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std::vector<cv::Point> edge_right;
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temp = index_top;
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while (temp != index_bottom)
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{
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edge_right.push_back(points[temp]);
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temp = (temp + points.size() + 1) % points.size();
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}
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edge_right.push_back(points[index_bottom]);
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std::vector<int> left_edge_x;
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std::vector<int> left_edge_y;
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for (size_t i = 0, length = edge_left.size() - 1; i < length; i++)
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{
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int y_top = edge_left[i].y;
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int x_top = edge_left[i].x;
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int y_bottom = edge_left[i + 1].y;
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int x_bottom = edge_left[i + 1].x;
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for (int y = y_top; y < y_bottom; y++)
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if (y >= 0 && y_top != y_bottom && y < image.rows)
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{
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left_edge_x.push_back(((x_bottom - x_top) * y + x_top * y_bottom - x_bottom * y_top) / (y_bottom - y_top));
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left_edge_y.push_back(y);
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}
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}
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size_t step = image.step;
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unsigned char* ptr;
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ptr = image.data + static_cast<uint>(left_edge_y[0]) * step;
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for (size_t i = 0, length = left_edge_x.size(); i < length; i++)
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{
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int pix = left_edge_x[i];
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if (pix < image.cols - 1 && pix > 0)
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memset(ptr + i * step, R_COLOR, static_cast<size_t>((pix + 1) * image.channels()));
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}
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std::vector<int> right_edge_x;
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std::vector<int> right_edge_y;
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for (size_t i = 0, length = edge_right.size() - 1; i < length; i++)
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{
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int y_top = edge_right[i].y;
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int x_top = edge_right[i].x;
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int y_bottom = edge_right[i + 1].y;
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int x_bottom = edge_right[i + 1].x;
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for (int y = y_top; y < y_bottom; y++)
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if (y_top != y_bottom && y < image.rows && y >= 0)
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{
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right_edge_x.push_back(((x_bottom - x_top) * y + x_top * y_bottom - x_bottom * y_top) / (y_bottom - y_top));
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right_edge_y.push_back(y);
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}
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}
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ptr = image.data + static_cast<uint>(right_edge_y[0]) * step;
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for (size_t i = 0, length = right_edge_x.size(); i < length; i++)
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{
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int pix = right_edge_x[i];
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if (pix < image.cols - 1 && pix > 0)
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memset(ptr + i * step + pix * image.channels(), R_COLOR, step - static_cast<size_t>(pix * image.channels()));
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}
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if (edge_left[0].y > 0)
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memset(image.data, R_COLOR, static_cast<size_t>(edge_left[0].y) * step);
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if (edge_left.back().y < image.rows - 1)
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memset(image.data + static_cast<size_t>(edge_left.back().y) * step, R_COLOR,
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static_cast<size_t>(image.rows - edge_left.back().y) * step);
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}
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void fillPolys(cv::Mat& image, const std::vector<std::vector<cv::Point>>& contours, const cv::Scalar& color)
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{
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if (contours.empty()) return;
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size_t count = contours.size();
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cv::Point** pointss = new cv::Point*[count];
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int* npts = new int[count];
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for (size_t i = 0; i < count; i++)
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{
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size_t length = contours[i].size();
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npts[i] = length;
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pointss[i] = new cv::Point[length];
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for (size_t j = 0; j < length; j++)
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pointss[i][j] = contours[i][j];
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}
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cv::fillPoly(image, const_cast<const cv::Point**>(pointss), npts, count, color);
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for (size_t i = 0; i < count; i++)
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delete[] pointss[i];
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delete[] pointss;
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delete[] npts;
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}
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void findContours(const cv::Mat& src, std::vector<std::vector<cv::Point>>& contours, std::vector<cv::Vec4i>& hierarchy, int retr, int method, cv::Point offset)
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{
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CvMat c_image;
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CV_DbgAssert(src.dims <= 2);
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c_image = cvMat(src.rows, src.dims == 1 ? 1 : src.cols, src.type(), src.data);
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c_image.step = (int)src.step[0];
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c_image.type = (c_image.type & ~cv::Mat::CONTINUOUS_FLAG) | (src.flags & cv::Mat::CONTINUOUS_FLAG);
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cv::MemStorage storage(cvCreateMemStorage());
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CvSeq* _ccontours = nullptr;
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cvFindContours(&c_image, storage, &_ccontours, sizeof(CvContour), retr, method, CvPoint({ offset.x,offset.y }));
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if (!_ccontours)
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{
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contours.clear();
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return;
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}
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cv::Seq<CvSeq*> all_contours(cvTreeToNodeSeq(_ccontours, sizeof(CvSeq), storage));
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size_t total = all_contours.size();
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contours.resize(total);
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cv::SeqIterator<CvSeq*> it = all_contours.begin();
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for (size_t i = 0; i < total; i++, ++it)
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{
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CvSeq* c = *it;
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reinterpret_cast<CvContour*>(c)->color = static_cast<int>(i);
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int count = c->total;
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int* data = new int[static_cast<size_t>(count * 2)];
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cvCvtSeqToArray(c, data);
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for (int j = 0; j < count; j++)
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{
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contours[i].push_back(cv::Point(data[j * 2], data[j * 2 + 1]));
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}
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delete[] data;
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}
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hierarchy.resize(total);
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it = all_contours.begin();
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for (size_t i = 0; i < total; i++, ++it)
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{
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CvSeq* c = *it;
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int h_next = c->h_next ? reinterpret_cast<CvContour*>(c->h_next)->color : -1;
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int h_prev = c->h_prev ? reinterpret_cast<CvContour*>(c->h_prev)->color : -1;
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int v_next = c->v_next ? reinterpret_cast<CvContour*>(c->v_next)->color : -1;
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int v_prev = c->v_prev ? reinterpret_cast<CvContour*>(c->v_prev)->color : -1;
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hierarchy[i] = cv::Vec4i(h_next, h_prev, v_next, v_prev);
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}
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storage.release();
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}
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cv::RotatedRect getBoundingRect(const std::vector<cv::Point>& contour)
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{
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if (contour.empty()) return {};
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cv::RotatedRect rect = minAreaRect(contour);
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if (rect.angle < -45)
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{
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rect.angle += 90;
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float temp = rect.size.width;
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rect.size.width = rect.size.height;
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rect.size.height = temp;
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}
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if (rect.angle > 45)
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{
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rect.angle -= 90;
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float temp = rect.size.width;
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rect.size.width = rect.size.height;
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rect.size.height = temp;
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}
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return rect;
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}
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std::vector<cv::Point> getMaxContour(const std::vector<std::vector<cv::Point>>& contours, const std::vector<cv::Vec4i>& hierarchy)
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{
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std::vector<cv::Point> maxContour;
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if (contours.size() < 1) return {};
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for (size_t i = 0, length = hierarchy.size(); i < length; i++)
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if (hierarchy[i][3] == -1)
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for (const auto &item : contours[i])
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maxContour.push_back(item);
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return maxContour;
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}
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std::vector<cv::Point> getVertices(const cv::RotatedRect& rect)
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{
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cv::Point2f box[4];
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rect.points(box);
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std::vector<cv::Point> points;
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for (int i = 0; i < 4; i++)
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points.push_back(cv::Point(box[i]));
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return points;
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}
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void polyIndent(std::vector<cv::Point>& points, const cv::Point& center, int indent)
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{
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static cv::Point zero(0, 0);
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for (cv::Point& item : points)
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{
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#if 0
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cv::Point vec = item - center;
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if (vec != zero)
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{
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int length = vec.x * vec.x + vec.y * vec.y;
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float x = cv::sqrt(static_cast<float>(vec.x * vec.x / length)) * indent;
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float y = cv::sqrt(static_cast<float>(vec.y * vec.y / length)) * indent;
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if (vec.x < 0) x *= -1.0f;
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if (vec.y < 0) y *= -1.0f;
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item.x -= static_cast<int>(x);
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item.y -= static_cast<int>(y);
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}
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#else
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if (item.x > center.x)
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item.x -= indent;
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else
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item.x += indent;
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if (item.y > center.y)
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item.y -= indent;
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else
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item.y += indent;
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#endif
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}
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}
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cv::Mat transforColor(const cv::Mat& src)
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{
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if (src.channels() == 1) return src.clone();
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std::vector<cv::Mat> channels(3);
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cv::split(src, channels);
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cv::Mat temp, dst;
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bitwise_or(channels[0], channels[1], temp);
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bitwise_or(channels[2], temp, dst);
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temp.release();
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for (cv::Mat& index : channels)
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index.release();
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return dst;
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}
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void threshold_Mat(const cv::Mat& src, cv::Mat& dst, double thre)
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{
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if (src.channels() == 3)
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{
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#ifdef USE_ONENCL
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if (cl_res.context)
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transforColor_threshold_opencl(src, dst, static_cast<uchar>(thre));
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else
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#endif
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{
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cv::Mat gray = transforColor(src);
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cv::threshold(gray, dst, thre, 255, cv::THRESH_BINARY);
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gray.release();
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}
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}
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else
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cv::threshold(src, dst, thre, 255, cv::THRESH_BINARY);
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}
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cv::Point warpPoint(const cv::Point& p, const cv::Mat& warp_mat)
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{
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double src_data[3] = { static_cast<double>(p.x), static_cast<double>(p.y), 1 };
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cv::Mat src(3, 1, warp_mat.type(), src_data); //warp_mat.type() == CV_64FC1
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cv::Mat dst = warp_mat * src;
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double* ptr = reinterpret_cast<double*>(dst.data);
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return cv::Point(static_cast<int>(ptr[0]), static_cast<int>(ptr[1]));
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}
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int distanceP2P(const cv::Point& p1, const cv::Point& p2)
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{
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return cv::sqrt(cv::pow(p1.x - p2.x, 2) + cv::pow(p1.y - p2.y, 2));
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}
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float distanceP2L(const cv::Point& p, const cv::Point& l1, const cv::Point& l2)
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{
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//<2F><>ֱ<EFBFBD>߷<EFBFBD><DFB7><EFBFBD>
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int A = 0, B = 0, C = 0;
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A = l1.y - l2.y;
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B = l2.x - l1.x;
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C = l1.x * l2.y - l1.y * l2.x;
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//<2F><><EFBFBD><EFBFBD><EFBFBD>㵽ֱ<E3B5BD>߾<EFBFBD><DFBE>빫ʽ
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return ((float)abs(A * p.x + B * p.y + C)) / ((float)sqrtf(A * A + B * B));
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}
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} |