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OpenCV--图像的形态学处理

时间:2020-02-09 23:53:36      阅读:110      评论:0      收藏:0      [点我收藏+]

标签:show   iter   span   div   windows   kernel   梯度   col   黑帽   

形态学-腐蚀操作

img = cv2.imread(dige.png)

cv2.imshow(img, img)
cv2.waitKey(0)
cv2.destroyAllWindows()

效果:

技术图片

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:

技术图片

pie = cv2.imread(pie.png)

cv2.imshow(pie, pie)
cv2.waitKey(0)
cv2.destroyAllWindows()

效果:

技术图片

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:

技术图片

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:

技术图片

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:

技术图片

 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:

技术图片

# 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:

技术图片

 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:

技术图片

gradient = cv2.morphologyEx(pie, cv2.MORPH_GRADIENT, kernel)

cv2.imshow(gradient, gradient)
cv2.waitKey(0)
cv2.destroyAllWindows()

效果:

技术图片

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:

技术图片

#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:

技术图片

OpenCV--图像的形态学处理

标签:show   iter   span   div   windows   kernel   梯度   col   黑帽   

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

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