OpenCV python 图像梯度--sobel图像处理

OpenCV python 图像梯度–sobel图像处理

处理原图：[source.jpg]

import cv2


def main():

    # 1.导入图片
    img_src = cv2.imread("source.jpg")

    # 2.执行sobel算法1
    img_sobel_64x = cv2.Sobel(img_src, cv2.CV_64F, 0, 1)
    img_sobel_64y = cv2.Sobel(img_src, cv2.CV_64F, 1, 0)
    img_sobel_x = cv2.convertScaleAbs(img_sobel_64x)
    img_sobel_y = cv2.convertScaleAbs(img_sobel_64y)
    img_sobel = cv2.addWeighted(img_sobel_x, 0.5, img_sobel_y, 0.5, 0)

    # 2.执行sobel算法2
    img_sobelxy_11 = cv2.Sobel(img_src, cv2.CV_64F, 1, 1)
    img_sobelxy_11 = cv2.convertScaleAbs(img_sobelxy_11)

    # 3.显示图片
    cv2.imshow("img_src", img_src)
    cv2.imshow("img_sobel", img_sobel)
    cv2.imshow("img_sobelxy_11", img_sobelxy_11)

    cv2.waitKey()
    cv2.destroyAllWindows()


if __name__ == '__main__':
    main()

结果图片：[img_sobel.jpg]
结果图片:[img_sobelxy_11.jpg]

来源：CSDN

作者：廷益--飞鸟

链接：https://blog.csdn.net/weixin_45875105/article/details/103779975