Shi-Tomasi和harris角点检测Python代码.zip

import cv2 as cv import matplotlib.pyplot as plt import numpy as np # 1读取图像，并转换成灰度图像 img = cv.imread('./image/chess.jpg') gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY) # 2角点检测 # 2.1输入图像必须是float32 gray = np.float32(gray) # 2.2最后一个参数在0.04到0.05之间 dst = cv.cornerHarris(gray, 2, 3, 0.04) # 3设置阈值，将角点绘制出来，阈值根据图像进行选择 img[dst > 0.001 * dst.max(0)] = [0, 0, 255] # 4图像显示 plt.rc("font", family='Microsoft YaHei') plt.figure(figsize=(10, 8), dpi=100) plt.imshow(img[:, :, ::-1]), plt.title('Harris角点检测') plt.xticks([]), plt.yticks([]) plt.show()