开闭操作都是基于先腐蚀再膨胀进行运算的, kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (**, **)) 腐蚀时候将x轴设为1个像素点,即去掉水平方向的线。竖直方向同理. 总结开操作可以删除小的干扰块 闭操作是先膨胀再腐蚀,参见下图,黑色小于白色区域的都会被取消 import cv2 as cv import numpy as np def open_demo(image): print(image.shape) gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY) ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU) cv.imshow("binary", binary) kernel = cv.getStructuringElement(cv.MORPH_ELLIPSE, (15, 15)) binary = cv.morphologyEx(binary, cv.MORPH_OPEN, kernel) ##开操作 cv.imshow("open-result", binary) def close_demo(image): print(image.shape) 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)) binary = cv.morphologyEx(binary, cv.MORPH_CLOSE, kernel) ##闭操作 cv.imshow("close_demo", binary) print("--------- Python OpenCV Tutorial ---------") src = cv.imread("D:/vcprojects/images/circle.png") cv.namedWindow("input image", cv.WINDOW_AUTOSIZE) cv.imshow("input image", src) open_demo(src) cv.waitKey(0) cv.destroyAllWindows()
第十九天开闭操作 提取水平、垂直线
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转载自blog.csdn.net/qq_32340685/article/details/83691322
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