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Canny边缘检测.py

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+import cv2
+import matplotlib.pyplot as plt
+
+img = cv2.imread('./images/pill_002.png')
+gray_image = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+img_result = cv2.cvtColor(img,cv2.COLOR_BGR2RGB)
+plt.subplot(221),plt.imshow(img_result),plt.title('original')
+
+contours, hierarchy = cv2.findContours(gray_image, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
+
+Circles = []
+
+for c in range(len(contours)):
+    (x,y),radius = cv2.minEnclosingCircle(contours[c])
+    x,y,radius = int(x), int(y), int(radius)
+    if radius < 25 and radius >= 1:
+        Circles.append([x, y, radius])
+        print(x,y,radius)
+        cv2.circle(img,(x,y),radius,(0,0,255),2)
+print(len(Circles))
+
+
+plt.show()