A official document:
dilate (expansion):
cv.erode (corrosion) and other similar use.
Second test: expansion and corrosion
. 1 # Writer: [email protected] 2 # a Date: 2020.3.22 . 3 Import CV2 AS CV . 4 Import numpy AS NP . 5 . 6 Image cv.imread = ( " ../paojie.jpg " ) . 7 Image = cv.cvtColor ( image, cv.COLOR_RGB2GRAY) . 8 # obtain a binary image defined threshold is 127 . 9 # RET, Thresh1 = cv.threshold (image, 127,255, cv.THRESH_BINARY) 10 # to obtain an appropriate binary image is automatically calculated threshold . 11 RET, Thresh1 = cv.threshold (Image, 0,255, cv.THRESH_BINARY + cv.THRESH_OTSU) 12 is Black_and_White =thresh1.copy () 13 is 14 # obtain corrosion image, 3 * 3 convolution kernel size is 15 erode_result = cv.erode (Thresh1, (3,3 )) 16 # obtain expanded image, 3 * 3 convolution kernel size is 17 = cv.dilate dilate_result (Thresh1, (3,3 )) 18 is . 19 cv.imshow ( ' Black_and_White ' , Black_and_White) 20 is cv.imshow ( " erode_result " , erode_result) 21 is cv.imshow ( " dilate_result " , dilate_result) 22 is CV .waitKey (0) 23 cv.destroyAllWindows ()
Three experimental output:
Four experiments: opening and closing operation
. 1 # Writer: [email protected] 2 # a Date: 2020.3.22 . 3 Import CV2 AS CV . 4 Import numpy AS NP . 5 . 6 Image cv.imread = ( " ../paojie.jpg " ) . 7 Image = cv.cvtColor ( image, cv.COLOR_RGB2GRAY) . 8 # obtain a binary image defined threshold is 127 . 9 # RET, Thresh1 = cv.threshold (image, 127,255, cv.THRESH_BINARY) 10 # to obtain an appropriate binary image is automatically calculated threshold . 11 RET, Thresh1 = cv.threshold (Image, 0,255, cv.THRESH_BINARY + cv.THRESH_OTSU) 12 is Black_and_White = thresh1.copy() 13 14 # 闭运算 15 closing = cv.morphologyEx(thresh1, cv.MORPH_CLOSE, kernel=(3,3)) 16 # 开运算 17 opening = cv.morphologyEx(thresh1, cv.MORPH_OPEN, kernel=(3,3)) 18 19 cv.imshow('Black_and_White',Black_and_White) 20 cv.imshow("closing", closing) 21 cv.imshow("opening", opening) 22 cv.waitKey(0) 23 cv.destroyAllWindows()
Five experimental output:
Six. Morphological Gradient for detecting an image edge morphological gradient, to give the outline image
Corrosion and expansion difference obtained: Edge
函数：gradient = cv.morphologyEx(img, cv.MORPH_GRADIENT, kernel)
Seven results:
Eight Written in the last words:
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