运行代码
import cv2 from matplotlib import pyplot as plt img = cv2.imread('./ktcvdataself/hongxia.png',0) equ = cv2.equalizeHist(img)#对灰度图像进行直方图均衡化 plt.figure(figsize=(10, 7)) plt.subplot(2,2,1) plt.imshow(img,cmap='gray') plt.title('img') plt.axis('off') plt.subplot(2,2,2) plt.hist(img.ravel(),256,range = [0,256]) plt.title('img hist') plt.subplot(2,2,3) plt.imshow(equ,cmap='gray') plt.title('Equalized img') plt.axis('off') plt.subplot(2,2,4) plt.hist(equ.ravel(),256,range = [0,256]) plt.title('Equalized hist') #plt.tight_layout() # 自动调整布局，避免标题重叠 plt.show()
运行结果
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