# 本质: 统计每一个像素灰度 出现的概率 横坐标 0-255 纵坐标 概率P import cv2 import numpy as np import matplotlib.pyplot as plt img = cv2.imread('w', 1) imgInfo = img.shape height = imgInfo[0] width = imgInfo[1] gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) count = np.zeros(256, np.float) # 因为是概率, 有可能是浮点数 # 统计像素个数并计算概率 for i in range(height): for j in range(width): pixel = gray[i, j] index = int(pixel) count[index] = count[index] + 1 total = height * width # 总像素个数 count = count / total # 计算概率 # 画图 x = np.linspace(0, 255, 256) y = count plt.bar(x, y, 0.9, alpha = 1, color = "b") plt.show()