基于YUV图像的色彩调节

来源:互联网 发布:地面铺什么最环保 知乎 编辑:程序博客网 时间:2024/06/04 19:44
#!/usr/bin/python#coding:utf-8import cv2import numpy as npdef cb():    passif __name__ == "__main__":    img = cv2.imread("test.jpg")    assert img is not None, "test.jpg can not be opened!"    img = cv2.cvtColor(img, cv2.COLOR_BGR2YUV)    dst = np.array(img.shape, np.uint8)    cv2.namedWindow('image')    cv2.createTrackbar('U', 'image', 10, 20, cb)    cv2.createTrackbar('V', 'image', 10, 20, cb)    kernel = np.array([[0.299, 0.587, 0.114],            [-0.1678, -0.3313, 0.5],            [0.5, -0.4187, -0.0813]])    while(1):        cv2.imshow('image', dst)        k=cv2.waitKey(1)&0xFFFF        if k == 27:            break        u = cv2.getTrackbarPos('U', 'image')        v = cv2.getTrackbarPos('V', 'image')        print u,v        #tmp = (img -[0, 127, 127])* [ 1, u/10.0 , v/10.0] + [0, 127, 127]        tmp = img + [0, (u-10)*10.0, (v-10)*10.0]        tmp2 = np.array(tmp, np.uint8)        dst = cv2.cvtColor(tmp2, cv2.COLOR_YUV2BGR)    cv2.destroyAllWindows()

效果:



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