[英]How to identify if the shapes of an image are symmetric or asymmetric using opencv - python?
[英]how to calculate Asymmetric shapes area in python with opencv
我需要計算不對稱形狀的面積,如下圖所示
這段代碼讀取圖像並將其轉換為灰色,並找到銳利度,我需要找出不對稱形狀的區域
import numpy as np
import cv2
# load the image, convert it to grayscale, and blur it slightly
image = cv2.imread("download.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (7, 7), 0)
# find contours in the edge map
cnts = cv2.findContours(gray.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(image,cnts, 0, (255, 0, 0), 8)
cv2.imshow("Image", image)
cv2.waitKey(0)
我已經測試了您的代碼,發現沒有找到形狀的輪廓。 這是因為您在灰色圖像中執行了cv2.findContours
。 該圖像應該是二進制圖像,因此我使用了cv2.threshold
。 然后可以使用cv2.contourArea
計算cv2.contourArea
。
下面是代碼和結果。
import numpy as np
import cv2
image = cv2.imread("1.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(gray, (7, 7), 0)
_,thresh = cv2.threshold(gray,128,255,cv2.THRESH_BINARY_INV)
im, cnts, hier = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
for cnt in cnts:
cv2.drawContours(image,cnts, -1, (0, 0, 255), 1)
print(cv2.contourArea(cnt))
cv2.imshow("thresh", thresh)
cv2.imshow("Image", image)
cv2.waitKey(0)
>> 8656.0
>> 3824.5
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