/*M/// // // Author : KayChan // Explain : Shape matching // //M*/ #ifndef _KCG_MATCH_H_ #define _KCG_MATCH_H_ #include <opencv2/opencv.hpp> #include <omp.h> #ifndef ATTR_ALIGN # if defined(__GNUC__) # define ATTR_ALIGN(n) __attribute__((aligned(n))) # else #...
3. What are Hu Moments? It is great that central moments are translation invariant. But that is not enough for shape matching. We would like to calculate moments that are invariant to translation, scale, and rotation as shown in the Figure below. Fortunately, we can in fact calculate such ...
5 参考 https://www.learnopencv.com/shape-matching-using-hu-moments-c-python/
简介:使用OpenCV实现Halcon算法(2)形状匹配开源项目,shape_based_matching 目前市面上的商业软件,VisionPro的PatMax算法,Halcon的形状匹配算法都是基于边缘的模版匹配。 1、GeoMatch,Edge-Based-Template-Matching OpenCV实现边缘模板匹配算法 https://cloud.tencent.com/developer/article/1440371 ...
self.template_height,self.template_width=self.template.shape[:2]self.matching_threshold=matching_threshold image=cv2.imread("/content/drive/MyDrive/Computer Vision/shelf_new.jpg")templates=[Template(label="1",template=template_1,color=(0,0,255)),Template(label="2",template=template_2,color=(...
1080 0 00:17 App opencv c++ 轮廓匹配 2850 0 00:20 App opencv 卡尺法 采集边缘点 拟合直线 362 0 01:49 App 基于边缘梯度方向的模板匹配 shape based matching 9040 0 01:49 App Qt+openCV测量多边形各边长度及轮廓总长度 浏览方式(推荐使用) 哔哩哔哩 你感兴趣的视频都在B站 打开信息...
cout << "Shape Distances Between " << endl << "---" << endl; cout << "S0.png and S0.png : " << m1 << endl; cout << "S0.png and K0.png : " << m2 << endl; cout << "S0.png and S4.png : " << m3 << endl; } Python: import cv2 def main()...
h, w=template.shape[:2] res=cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED) threshold=0.8 # 取匹配程度大于%80的坐标 loc=np.where(res >=threshold) #np.where返回的坐标值(x,y)是(h,w),注意h,w的顺序 forptinzip(*loc[::-1]): ...
函数cv2.matchShape() 可以比较两个形状或轮廓的相似度。如果返回值越小,匹配越好。它是根据 Hu 矩来计算的. ret, thresh = cv2.threshold(img1, 127, 255, 0) ret, thresh2 = cv2.threshold(img2, 127, 255, 0) contours,hierarchy= cv2.findContours(thresh, 2, 1) ...
int ShapeMatch(Mat& srcImg, Mat& srcImg2) { cvtColor(srcImg, srcImg, CV_BGR2GRAY); threshold(srcImg, srcImg, 150, 255, CV_THRESH_BINARY); vector<vector<Point>> contours; vector<Vec4i> hierarcy; findContours(srcImg, contours, hierarcy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE); Mat...