53 lines
1.2 KiB
Python
53 lines
1.2 KiB
Python
# -*- coding: utf-8 -*-
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# @Time : 2024/11/10 09:08
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# @Author : len
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# @File : 车牌倾斜.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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# 读取图片
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image = cv2.imread('./img/img_1.png')
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# 转换为灰度图
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gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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# 使用边缘检测
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edges = cv2.Canny(gray, 50, 150, apertureSize=3)
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# 找到轮廓
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contours, _ = cv2.findContours(edges, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
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# 找到面积最大的矩形轮廓，假设为车牌
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plate_contour = max(contours, key=cv2.contourArea)
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# 获取最小外接矩形
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rect = cv2.minAreaRect(plate_contour)
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box = cv2.boxPoints(rect)
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box = np.int0(box)
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# 透视变换准备
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width, height = int(rect[1][0]), int(rect[1][1])
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# 确保宽度大于高度
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if width < height:
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width, height = height, width
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# 定义目标点
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dst_points = np.array([[0, 0], [width-1, 0], [width-1, height-1], [0, height-1]], dtype="float32")
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src_points = np.array(box, dtype="float32")
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# 计算透视变换矩阵
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M = cv2.getPerspectiveTransform(src_points, dst_points)
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# 透视变换
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warped = cv2.warpPerspective(image, M, (width, height))
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# 显示结果
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cv2.imshow("Original", image)
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cv2.imshow("Corrected Plate", warped)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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