cv图片局部放大

最新推荐文章于 2023-09-20 16:39:54 发布

原创最新推荐文章于 2023-09-20 16:39:54 发布 · 336 阅读

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#python

该代码示例展示了如何使用OpenCV库在Python中读取图像，选取图像的一部分进行放大，然后将放大后的局部图像与原图像拼接在一起。使用了cv.resize()函数进行缩放操作，并用cv.rectangle()和cv.line()画出边界和线条以标识放大区域。

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

if __name__ == '__main__':
    # 读取图像并判断是否读取成功390*568
    img = cv.imread('tu.jpg')
    # 需要放大的部分
    part = img[200:300, 250:350]


    if img is None is None:
        print('Failed to read picture')
        sys.exit()

    # # 1局部图和原图拼接
    # big = np.zeros((390, 668, 3))
    # big[0:390, :568, :] = img
    # big[0:100, 568:668, :] = part
    # # 先转为int型，可以在plt显示为图片
    # big = big.astype(int)
    # # 转为uint8，否则显示为一片黑
    # big = big.astype(np.uint8)
    # # cv.rectangle(img, 左下角=(x1, y1), 右下角=(x2, y2), 框BGR=(0, 255, 0), 框粗=1)
    # cv.rectangle(big, (568, 0), (668, 100), (255, 0, 0), 2)
    # cv.rectangle(big, (250, 200), (350, 300), (255, 0, 0), 2)
    # # cv.line(img, 点=(x1, y1), 点=(x2, y2), (0, 255, 0), 2)
    # big = cv.line(big, (350, 200), (568, 0), (0, 0, 255), 2)
    # big = cv.line(big, (350, 300), (568, 100), (0, 255, 0), 2)
    # cv.imshow('big', big)
    # # 按0关闭页面
    # cv.waitKey(0)
    # cv.destroyAllWindows()

    # 2原图像局部按比例缩放
    mask = cv.resize(part, (300, 300), fx=0, fy=0, interpolation=cv.INTER_LINEAR)
    big = np.zeros((390, 868, 3))
    big[0:390, :568, :] = img
    big[0:300, 568:868, :] = mask
    # 先转为int型，可以在plt显示为图片
    big = big.astype(int)
    # 转为uint8，否则显示为一片黑
    big = big.astype(np.uint8)
    # cv.rectangle(img, 左下角=(x1, y1), 右下角=(x2, y2), 框BGR=(0, 255, 0), 框粗=1)
    cv.rectangle(big, (568, 0), (868, 300), (255, 0, 0), 2)
    cv.rectangle(big, (250, 200), (350, 300), (255, 0, 0), 2)
    # cv.line(img, 点=(x1, y1), 点=(x2, y2), (0, 255, 0), 2)
    big = cv.line(big, (350, 200), (568, 0), (0, 0, 255), 2)
    big = cv.line(big, (350, 300), (568, 300), (0, 0, 255), 2)
    cv.imshow('big', big)
    # 按0关闭页面
    cv.waitKey(0)
    cv.destroyAllWindows()

原图见图中ID

局部放大的图