Python+OpenCV之直方图均衡化详解_python_

import cv2 # opencv读取的格式是BGR import numpy as np import matplotlib.pyplot as plt # Matplotlib是RGB # %matplotlib inline def cv_show(img, name): cv2.imshow(name, img) cv2.waitKey() cv2.destroyAllWindows() img = cv2.imread('DataPreprocessing/img/scenery.png', 0) # 0表示灰度图 hist = cv2.calcHist([img], [0], None, [256], [0, 256]) print(hist.shape) plt.hist(img.ravel(), 256) plt.show() 

color = ('b', 'g', 'r') for i, col in enumerate(color): histr = cv2.calcHist([img], [i], None, [256], [0, 256]) plt.plot(histr, color=col) plt.xlim([0, 256]) 

img = cv2.imread('DataPreprocessing/img/scenery.png', 0) equ = cv2.equalizeHist(img) plt.hist(equ.ravel(), 256) plt.show() # cv_show(equ, "equ") 

clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8)) res_clahe = clahe.apply(img) res = np.hstack((img, equ, res_clahe)) cv2.imwrite("res_scenery.png", res) cv_show(res, 'res')