Python和OpenCV图像分块之图像边长缩小比率是2

import cv2
import numpy as npimg = cv2.imread("F:\\mytupian\\xihuduanqiao.jpg")  # 低反光
cv2.imshow('image', img)
# =============================================================================
# 图像分块
# =============================================================================
dst = np.zeros(img.shape, img.dtype)
ratio = 2    #图像边长缩小比率是2，也就是一张图片被分割成四份
height, width = img.shape[:2]pheight = int(height / ratio)
pwidth = int(width / ratio)pHeightInterval = int(pheight)
pWidthInterval = int(pwidth)cnt = 1for i in range(ratio):for j in range(ratio):y = int(pHeightInterval * i)x = int(pWidthInterval * j)patch = img[y:y + pheight, x:x + pwidth]cv2.imshow('%d' % cnt + '.jpg', patch)cnt = cnt + 1#        patch=cv2.equalizeHist(patch) #直方图均衡#        ret,patch=cv2.threshold(patch,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)dst[y:y + pheight, x:x + pwidth] = patch
cv2.imshow('final image', dst)cv2.waitKey(0)
cv2.destroyAllWindows()