''' 特征点检测: 常用特征点检测有:STAR特征点检测 / SIFT特征点检测 特征点检测结合了边缘检测与角点检测从而识别出图形的特征点。 STAR特征点检测相关API如下: import cv2 as cv # 创建STAR特征点检测器 star = cv.xfeatures2d.StarDetector_create() # 检测出gray图像所有的特征点 keypoints = star.detect(gray) # drawKeypoints方法可以把所有的特征点绘制在mixture图像中 cv.drawKeypoints(original, keypoints, mixture, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) cv.imshow('Mixture', mixture) ''' import cv2 as cv original = cv.imread('./ml_data/table.jpg') cv.imshow('Original', original) gray = cv.cvtColor(original, cv.COLOR_BGR2GRAY) cv.imshow('Gray', gray) # 创建特征点检测器 star = cv.xfeatures2d.StarDetector_create() keypoints = star.detect(gray) mixture = original.copy() cv.drawKeypoints(original, keypoints, mixture, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) cv.imshow('Mixture', mixture) cv.waitKey()
''' 特征点检测: 常用特征点检测有:STAR特征点检测 / SIFT特征点检测 特征点检测结合了边缘检测与角点检测从而识别出图形的特征点。 STAR特征点检测相关API如下: import cv2 as cv # 创建STAR特征点检测器 star = cv.xfeatures2d.StarDetector_create() # 检测出gray图像所有的特征点 keypoints = star.detect(gray) # drawKeypoints方法可以把所有的特征点绘制在mixture图像中 cv.drawKeypoints(original, keypoints, mixture, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) cv.imshow('Mixture', mixture) ''' import cv2 as cv original = cv.imread('./ml_data/table.jpg') cv.imshow('Original', original) gray = cv.cvtColor(original, cv.COLOR_BGR2GRAY) cv.imshow('Gray', gray) # 创建特征点检测器 sift = cv.xfeatures2d.SIFT_create() keypoints = sift.detect(gray) mixture = original.copy() cv.drawKeypoints(original, keypoints, mixture, flags=cv.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS) cv.imshow('Mixture', mixture) cv.waitKey()