我在Python中使用standart函数cv2.findContours.找到了图像轮廓。
但是正如你所看到的,中间有一个点,我不能在不打破轮廓线的情况下过滤它。
我如何删除这样的假阳性集群?轮廓之外的那些并不重要。
gray = cv2.cvtColor(self.img, cv2.COLOR_RGB2GRAY)
_, mask = cv2.threshold(gray, thresh=152, maxval=162, type=cv2.THRESH_BINARY)
self.mask = cv2.bitwise_and(gray, mask)
self.contours, hierarchy = cv2.findContours(self.mask, cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
发布于 2019-03-20 04:17:46
避免误报的一个好方法是考虑具有最大面积的轮廓:
import imutils #to use sorting functionality
#To install imutils run: pip install imutils for python 2.x
#Run: pip3 install imutils for python 3.x
cnts = imutils.grab_contours(cnts) #where cnts is the variable in which contours are stored, replace it with your variable name
cnts = sorted(cnts, key = cv2.contourArea, reverse = True)[:10] #sorts contours according to their area from largest to smallest.
largestCont = cnts[0] #store the largest contour
这将删除小的点,同时只给出最大的轮廓
https://stackoverflow.com/questions/55062579
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