42 lines
1.1 KiB
Python
42 lines
1.1 KiB
Python
# -*- coding: utf-8 -*-
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# @Time : 2024/2/18 14:23
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# @Author : len
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# @File : find_qr_block.py
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# @Software: PyCharm
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# @Comment :
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import cv2
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import numpy as np
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# 读取图像
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image_path = './android_img/img_240218/img_5.png' # 替换为你的图像文件路径
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image = cv2.imread(image_path)
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# 灰度化
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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# 应用阈值处理或者Canny边缘检测
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# ret, thresh = cv2.threshold(gray, 127, 255, 0) # 二值化阈值处理
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# thresh = cv2.Canny(image, 50, 150) # 或者使用Canny边缘检测
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thresh = cv2.Canny(gray, 50, 150) # 或者使用Canny边缘检测
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# 寻找轮廓
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contours, _ = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
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# 筛选和绘制轮廓
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for cnt in contours:
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# 轮廓近似
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epsilon = 0.05 * cv2.arcLength(cnt, True)
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approx = cv2.approxPolyDP(cnt, epsilon, True)
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# 如果近似轮廓有4个顶点，则可能是矩形或方块
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if len(approx) == 4:
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# 绘制轮廓
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cv2.drawContours(image, [approx], -1, (0, 255, 0), 3)
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# 显示图像
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cv2.imshow('gray', gray)
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cv2.imshow('Image with Blocks', image)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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