the image is processed by binary, how to get the contours from this file. wrong contours: my code: CANNY_THRESH1 = 50 # CANNY_THRESH2 = 150 # DILATE_ITER = 2 # ERODE_ITER = 1 # APPROX_POLY_EPSILON = 0.02 # MIN_AREA = 1000 # DEBUG = True # img = cv2.imread("debug_binary.jpg") orig = img.copy() # gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # ======================= # find canny # ======================= edges = cv2.Canny(gray, CANNY_THRESH1, CANNY_THRESH2) # ======================= # morph process # ======================= kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5,5)) morph = cv2.morphologyEx(edges, cv2.MORPH_CLOSE, kernel) morph = cv2.dilate(morph, kernel, iterations=DILATE_ITER) morph = cv2.erode(morph, kernel, iterations=ERODE_ITER) # ======================= # find contours # ======================= contours, _ = cv2.findContours(morph, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) book_contours = [] for cnt in contours: if cv2.contourArea(cnt) < MIN_AREA: continue # 多边形逼近 epsilon = APPROX_POLY_EPSILON * cv2.arcLength(cnt, True) approx = cv2.approxPolyDP(cnt, epsilon, True) if len(approx) == 4: # 只保留四边形轮廓 book_contours.append(approx) # ======================= # draw contours # ======================= output = orig.copy() cv2.drawContours(output, book_contours, -1, (0, 0, 255), 3) Continue reading...
