计算机视觉-车牌定位识别cv2不好使所以用 matplotlib代替

乐呦刘、

于 2024-09-26 20:34:46 发布

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文章标签： python opencv numpy

本文链接：https://blog.youkuaiyun.com/qq_49786473/article/details/142577383

版权

# -*-coding: utf-8-*-

import cv2
import numpy as np
import matplotlib.pyplot as plt


def stretch(img):
    max_val = float(img.max())
    min_val = float(img.min())

    for i in range(img.shape[0]):
        for j in range(img.shape[1]):
            img[i, j] = (255 / (max_val - min_val)) * img[i, j] - (255 * min_val) / (max_val - min_val)

    return img


def dobinaryzation(img):
    max_val = float(img.max())
    min_val = float(img.min())

    x = max_val - ((max_val - min_val) / 2)
    ret, threshedimg = cv2.threshold(img, x, 255, cv2.THRESH_BINARY)

    return threshedimg


def find_retangle(contour):
    y, x = [], []

    for p in contour:
        y.append(p[0][0])
        x.append(p[0][1])

    return [min(y), min(x), max(y), max(x)]


def locate_license(img, orgimg):
    contours, hierarchy = cv2.findContours(img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    # 找出最大的三个区域
    blocks = []
    for c