Python图像处理中的形态运算(关闭)|S2 _Python图像处理

在上一篇文章中, 指定了Opening运算符, 该运算符在膨胀后执行腐蚀操作。它有助于消除图像中的内部噪点。闭幕与打开操作类似。在关闭操作中, 基本前提是关闭是反向执行的。它被简单地定义为扩张后侵蚀使用与打开操作相同的结构元素。

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语法：cv2.morphologyEx(image, cv2.MORPH_CLOSE, kernel)参数：-> image：输入图像数组。 -> cv2.MORPH_CLOSE：应用形态学关闭操作。 -> 内核：结构元素。

以下是解释关闭形态运算的Python代码-

# Python programe to illustrate # Closing morphological operation # on an image# organizing imports import cv2 import numpy as np# return video from the first webcam on your computer. screenRead = cv2.VideoCapture( 0 )# loop runs if capturing has been initialized. while ( 1 ): # reads frames from a camera _, image = screenRead.read()# Converts to HSV color space, OCV reads colors as BGR # frame is converted to hsv hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)# defining the range of masking blue1 = np.array([ 110 , 50 , 50 ]) blue2 = np.array([ 130 , 255 , 255 ])# initializing the mask to be # convoluted over input image mask = cv2.inRange(hsv, blue1, blue2)# passing the bitwise_and over # each pixel convoluted res = cv2.bitwise_and(image, image, mask = mask)# defining the kernel i.e. Structuring element kernel = np.ones(( 5 , 5 ), np.uint8)# defining the closing function # over the image and structuring element closing = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)# The mask and closing operation # is shown in the window cv2.imshow( 'Mask' , mask) cv2.imshow( 'Closing' , closing)# Wait for 'a' key to stop the program if cv2.waitKey( 1 ) & 0xFF = = ord ( 'a' ): break# De-allocate any associated memory usage cv2.destroyAllWindows()# Close the window /Release webcam screenRead.release()

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