System information (version) OpenCV => 4.1.1 (opencv-python) Operating System / Platform => Windows 10 x64 Compiler => Visual Studio 14 2015 Win64 Detailed description Results of cv.matchTemplate(image, needle, cv.TM_CCORR_NORMED, mask=m...
根据“bhattacharya系数”一书，它与标准化的交叉关联完全不同，但当我尝试这段代码时，每个image.Can的...
对于cv2.TM_CCORR,它计算的是模板和图像区域之间的互相关。这个方法对光照变化比较敏感,可能不适合所有场景。你可以尝试使用其他模板匹配方法,如cv2.TM_CCOEFF或cv2.TM_CCOEFF_NORMED,这些方法对光照变化有更好的鲁棒性。 python import cv2 import numpy as np # 读取源图像和模板图像 img = cv2.imread('source...
TM_SQDIFF, TM_CCORR result = 1- result * 1.53787e-5/ templ.total() / templ.channels(); TM_SQDIFF_NORMED result = 1- result TM_CCOEFF result = ( result * 6.15148e-5/ templ.total() / templ.channels() + 1 ) / 2; TM_CCOEFF_NORMED result = ( result * + 1 ) / 2; 解问题...