Python+OpenCV：直方图均衡化(Histogram Equalization)

痛定思痛。 2022-12-21 06:20 231阅读 0赞

## Python+OpenCV：直方图均衡化(Histogram Equalization) ##

####################################################################################################
    # 图像直方图均衡化(Image Histogram Equalization)
    def lmc_cv_image_histogram_equalization():
        """
            函数功能: 图像直方图均衡化(Image Histogram Equalization)。
        """
    
        stacking_images = []
    
        # 灰色图像直方图均衡化
        image = lmc_cv.imread('D:/99-Research/Python/Image/CountryRoad.jpg')
        image = lmc_cv.cvtColor(image, lmc_cv.COLOR_BGR2GRAY)
        equalize_image = lmc_cv.equalizeHist(image)
        # stacking images side-by-side
        stacking_image = np.hstack((image, equalize_image))
        stacking_images.append(stacking_image)
    
        # 彩色图像直方图均衡化
        image_file_name = ['D:/99-Research/Python/Image/hist_low.jpg', 'D:/99-Research/Python/Image/hist_high.jpg',
                           'D:/99-Research/Python/Image/Lena.jpg']
        for i in range(len(image_file_name)):
            # 读取图像
            image = lmc_cv.imread(image_file_name[i])
            ycrcb = lmc_cv.cvtColor(image, lmc_cv.COLOR_BGR2YCR_CB)
            channels = lmc_cv.split(ycrcb)
            channels[0] = lmc_cv.equalizeHist(channels[0])
            ycrcb = lmc_cv.merge(channels)
            equalize_image = lmc_cv.cvtColor(ycrcb, lmc_cv.COLOR_YCR_CB2BGR)
            image = lmc_cv.cvtColor(image, lmc_cv.COLOR_BGR2RGB)
            equalize_image = lmc_cv.cvtColor(equalize_image, lmc_cv.COLOR_BGR2RGB)
            # stacking images side-by-side
            stacking_image = np.hstack((image, equalize_image))
            stacking_images.append(stacking_image)
    
        # 显示图像
        pyplot.figure('Image Display')
        titles = ['Gray Image Histogram Equalization', 'Low Histogram Image Histogram Equalization',
                  'High Histogram Image Histogram Equalization', 'Nomal Histogram Image Histogram Equalization']
        for i in range(len(stacking_images)):
            pyplot.subplot(2, 2, i + 1)
            pyplot.imshow(stacking_images[i], 'gray')
            pyplot.title(titles[i])
            pyplot.xticks([])
            pyplot.yticks([])
        pyplot.show()
    
        # 根据用户输入保存图像
        if ord("q") == (lmc_cv.waitKey(0) & 0xFF):
            # 销毁窗口
            pyplot.close()
        return

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