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  • OpenCV--图像的形态学处理

    形态学-腐蚀操作

    img = cv2.imread('dige.png')
    
    cv2.imshow('img', img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    kernel = np.ones((3,3),np.uint8) 
    erosion = cv2.erode(img,kernel,iterations = 1) #迭代次数
    
    cv2.imshow('erosion', erosion)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    pie = cv2.imread('pie.png')
    
    cv2.imshow('pie', pie)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    kernel = np.ones((30,30),np.uint8) 
    erosion_1 = cv2.erode(pie,kernel,iterations = 1)
    erosion_2 = cv2.erode(pie,kernel,iterations = 2)
    erosion_3 = cv2.erode(pie,kernel,iterations = 3)
    res = np.hstack((erosion_1,erosion_2,erosion_3))
    cv2.imshow('res', res)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    形态学-膨胀操作

    kernel = np.ones((3,3),np.uint8) 
    dige_erosion = cv2.erode(img,kernel,iterations = 1)
    
    kernel = np.ones((3,3),np.uint8) 
    dige_dilate = cv2.dilate(dige_erosion,kernel,iterations = 1)
    
    cv2.imshow('dilate', dige_dilate)
    cv2.waitKey(0)
    cv2.destroyAllWindows()
    #先腐蚀再膨胀

    效果:

    pie = cv2.imread('pie.png')
    
    kernel = np.ones((30,30),np.uint8) 
    dilate_1 = cv2.dilate(pie,kernel,iterations = 1)
    dilate_2 = cv2.dilate(pie,kernel,iterations = 2)
    dilate_3 = cv2.dilate(pie,kernel,iterations = 3)
    res = np.hstack((dilate_1,dilate_2,dilate_3))
    cv2.imshow('res', res)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

     开运算与闭运算

    # 开:先腐蚀,再膨胀
    img = cv2.imread('dige.png')
    
    kernel = np.ones((5,5),np.uint8) 
    opening = cv2.morphologyEx(img, cv2.MORPH_OPEN, kernel)
    
    cv2.imshow('opening', opening)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    # 闭:先膨胀,再腐蚀
    img = cv2.imread('dige.png')
    
    kernel = np.ones((5,5),np.uint8) 
    closing = cv2.morphologyEx(img, cv2.MORPH_CLOSE, kernel)
    
    cv2.imshow('closing', closing)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

     梯度运算

    # 梯度=膨胀-腐蚀
    pie = cv2.imread('pie.png')
    kernel = np.ones((7,7),np.uint8) 
    dilate = cv2.dilate(pie,kernel,iterations = 5)
    erosion = cv2.erode(pie,kernel,iterations = 5)
    
    res = np.hstack((dilate,erosion))
    
    cv2.imshow('res', res)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    gradient = cv2.morphologyEx(pie, cv2.MORPH_GRADIENT, kernel)
    
    cv2.imshow('gradient', gradient)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    礼帽与黑帽

    礼帽 = 原始输入-开运算结果

    黑帽 = 闭运算-原始输入

    #礼帽
    img = cv2.imread('dige.png')
    tophat = cv2.morphologyEx(img, cv2.MORPH_TOPHAT, kernel)
    cv2.imshow('tophat', tophat)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

    #黑帽
    img = cv2.imread('dige.png')
    blackhat  = cv2.morphologyEx(img,cv2.MORPH_BLACKHAT, kernel)
    cv2.imshow('blackhat ', blackhat )
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    效果:

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  • 原文地址:https://www.cnblogs.com/SCCQ/p/12289273.html
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