37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
import numpy as np
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import argparse
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import imutils
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import cv2
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import matplotlib.pyplot as plt
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img = cv2.cvtColor(cv2.imread('barcode.jpg'), cv2.COLOR_BGR2GRAY)
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ddepth = cv2.cv.CV_32F if imutils.is_cv2() else cv2.CV_32F
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X = cv2.Sobel(img, ddepth=ddepth, dx=1, dy=0, ksize=-1)
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Y = cv2.Sobel(img, ddepth=ddepth, dx=0, dy=1, ksize=-1)
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gradient = cv2.subtract(X, Y)
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gradient = cv2.convertScaleAbs(gradient)
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blurred = cv2.blur(gradient, (9, 9))
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(_, thresh) = cv2.threshold(blurred, 225, 255, cv2.THRESH_BINARY)
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kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (21, 7))
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closed = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)
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closed = cv2.erode(closed, None, iterations=4)
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closed = cv2.dilate(closed, None, iterations=4)
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cnts = cv2.findContours(closed.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
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cnts = imutils.grab_contours(cnts)
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c = sorted(cnts, key=cv2.contourArea, reverse=True)[0]
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rect = cv2.minAreaRect(c)
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box = cv2.cv.BoxPoints(rect) if imutils.is_cv2() else cv2.boxPoints(rect)
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box = np.int0(box)
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cv2.drawContours(img, [box], -1, (0, 255, 0), 3)
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cv2.imshow("Image", img)
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cv2.waitKey(0)
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plt.imshow(closed ,cmap='binary')
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plt.show() |