Python+OpenCV：二维直方图(2D Histograms)

悠悠 2022-12-21 06:23 47阅读 0赞

## Python+OpenCV：二维直方图(2D Histograms) ##

####################################################################################################
    # 图像二维直方图(Image 2D Histograms)
    def lmc_cv_image_2d_histograms():
        """
            函数功能: 图像二维直方图(Image 2D Histograms)。
        """
    
        images = []
        hists = []
        # 图像二维直方图(Image 2D Histograms)
        image_file_name = ['D:/99-Research/Python/Image/Rock.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])
            image = lmc_cv.cvtColor(image, lmc_cv.COLOR_BGR2RGB)
            hsv_image = lmc_cv.cvtColor(image, lmc_cv.COLOR_RGB2HSV)
            hist = lmc_cv.calcHist([hsv_image], [0, 1], None, [180, 256], [0, 180, 0, 256])
            images.append(image)
            hists.append(hist)
    
        # 显示图像
        pyplot.figure('Image Display: 2D Histograms')
        for i in range(len(images)):
            pyplot.subplot(2, 2, i * 2 + 1)
            pyplot.imshow(images[i], cmap='gray')
            pyplot.title('Original Image')
            pyplot.xticks([])
            pyplot.yticks([])
            pyplot.subplot(2, 2, i * 2 + 2)
            pyplot.imshow(hists[i], cmap='brg', interpolation='nearest')
            pyplot.title('2D Histogram')
        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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