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  • OpenCV---其他形态学操作

    一:顶帽实现(原图像与开操作图像的差值)

    import cv2 as cv
    import numpy as np
    
    def top_hat_demo(image):
        gray = cv.cvtColor(image,cv.COLOR_BGR2GRAY)
        ret,binary = cv.threshold(gray,0,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
        cv.imshow("binary",binary)  #这里的二值化图像就可以看作是原图像(注意:基于腐蚀膨胀是可以直接对彩色图像操作的))
        kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE,(5,5))
        dst = cv.morphologyEx(binary,cv.MORPH_OPEN,kernel)  #查看开操作图像
        cv.imshow("open_demo",dst)
        dst = cv.morphologyEx(binary,cv.MORPH_TOPHAT,kernel)  #查看顶帽图像
        cv.imshow("top_hat_demo",dst)
    
    
    src = cv.imread("./cir.png")  #读取图片
    cv.namedWindow("input image",cv.WINDOW_AUTOSIZE)    #创建GUI窗口,形式为自适应
    cv.imshow("input image",src)    #通过名字将图像和窗口联系
    
    top_hat_demo(src)
    
    cv.waitKey(0)   #等待用户操作,里面等待参数是毫秒,我们填写0,代表是永远,等待用户操作
    cv.destroyAllWindows()  #销毁所有窗口

    二:黑帽实现(原图像与闭操作图像的差值)

    def black_hat_demo(image):
        gray = cv.cvtColor(image,cv.COLOR_BGR2GRAY)
        ret,binary = cv.threshold(gray,0,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
        cv.imshow("binary",binary)
        kernel = cv.getStructuringElement(cv.MORPH_RECT,(15,15))
        dst = cv.morphologyEx(binary,cv.MORPH_CLOSE,kernel)
        cv.imshow("close_demo",dst)
        dst = cv.morphologyEx(binary,cv.MORPH_BLACKHAT,kernel)
        cv.imshow("black_hat_demo",dst)

     三:图像的梯度

    (一)基本梯度(膨胀后的图像与腐蚀后的图像差值)

    def graditent_demo(image):
        gray = cv.cvtColor(image,cv.COLOR_BGR2GRAY)
        ret,binary = cv.threshold(gray,0,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
        cv.imshow("binary",binary)
        kernel = cv.getStructuringElement(cv.MORPH_RECT,(15,15))
        dst = cv.dilate(binary, kernel)
        cv.imshow("dilate_demo", dst)
        dst = cv.erode(binary, kernel)
        cv.imshow("erode_demo", dst)
        dst = cv.morphologyEx(binary,cv.MORPH_GRADIENT,kernel)
        cv.imshow("graditent_demo",dst)

    (二)内部梯度(原图像减去腐蚀后的图像差值)

    def graditent_demo(image):
        gray = cv.cvtColor(image,cv.COLOR_BGR2GRAY)
        ret,binary = cv.threshold(gray,0,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
        cv.imshow("binary",binary)
        kernel = cv.getStructuringElement(cv.MORPH_RECT,(15,15))
        erode_dst = cv.erode(binary, kernel)
        cv.imshow("erode_demo", erode_dst)
        dst2 = cv.subtract(dilate_dst,binary)
        cv.imshow("inner graditent",dst1)

    (三)外部梯度(膨胀后图像与原图差值)

    def graditent_demo(image):
        gray = cv.cvtColor(image,cv.COLOR_BGR2GRAY)
        ret,binary = cv.threshold(gray,0,255,cv.THRESH_BINARY|cv.THRESH_OTSU)
        cv.imshow("binary",binary)
        kernel = cv.getStructuringElement(cv.MORPH_RECT,(15,15))
        dilate_dst = cv.dilate(binary, kernel)
        cv.imshow("dilate_demo", dilate_dst)
        dst2 = cv.subtract(dilate_dst,binary)
        cv.imshow("outer graditent",dst2)

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  • 原文地址:https://www.cnblogs.com/ssyfj/p/9277891.html
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