pycharm+win7环境
opencv3+ python3
镜像操作有三种：假设原图在第一象限1） 绕y轴 实现于第二象限2） 绕y再x 实现于第三象限3）绕X实现于第四象限
opencv函数flip实现上述功能：flip(src, flipCode)src – 源图像flipCode – 镜像模式：flipCode==0垂直镜像（沿X轴）；flipCode>0水平镜像（沿Y轴）；flipCode<0水平垂直镜像（先沿X轴，再沿Y轴，等价于旋转180°）
水平镜像代码如下：#镜像import cv2 as cvimport numpy as npfrom matplotlib import pyplot as pltfrom matplotlib.font_manager import FontPropertiesplt.rcParams['font.family'] = ['sans-serif']plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签plt.rcParams['axes.unicode_minus']=False #用来正常显示负号font = FontProperties(fname='/System/Library/Fonts/STHeiti Light.ttc', size=16)img = cv.imread('c:\\meiping1.png',1)rows,cols, channel = img.shape# 水平镜像plt.subplot(1,2,1),plt.imshow(img)plt.subplot(1,2,2),plt.imshow(cv.flip(img, 2))# cv.imshow('dest', dest)plt.title('水平镜像')plt.xticks([]),plt.yticks([])plt.show()
垂直镜像代码如下：plt.subplot(1,2,1),plt.imshow(img)plt.subplot(1,2,2),plt.imshow(cv.flip(img, 0))# cv.imshow('dest', dest)plt.title('垂直镜像')plt.xticks([]),plt.yticks([])plt.show()
对称四象限代码：#对称四图！plt.subplot(2,2,1),plt.imshow(img)plt.subplot(2,2,2),plt.imshow(cv.flip(img, 1))plt.subplot(2,2,3),plt.imshow(cv.flip(img, 0))plt.subplot(2,2,4),plt.imshow(cv.flip(img, -3))# plt.xticks([]),plt.yticks([])plt.show()
完整代码：#镜像import cv2 as cvimport numpy as npfrom matplotlib import pyplot as pltfrom matplotlib.font_manager import FontPropertiesplt.rcParams['font.family'] = ['sans-serif']plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签plt.rcParams['axes.unicode_minus']=False #用来正常显示负号font = FontProperties(fname='/System/Library/Fonts/STHeiti Light.ttc', size=16)img = cv.imread('c:\\meiping1.png',1)rows,cols, channel = img.shape# 水平镜像plt.subplot(1,2,1),plt.imshow(img)plt.subplot(1,2,2),plt.imshow(cv.flip(img, 2))# cv.imshow('dest', dest)plt.title('水平镜像')plt.xticks([]),plt.yticks([])plt.show()plt.subplot(1,2,1),plt.imshow(img)plt.subplot(1,2,2),plt.imshow(cv.flip(img, 0))# cv.imshow('dest', dest)plt.title('垂直镜像')plt.xticks([]),plt.yticks([])plt.show()#对称四图！plt.subplot(2,2,1),plt.imshow(img)plt.subplot(2,2,2),plt.imshow(cv.flip(img, 1))plt.subplot(2,2,3),plt.imshow(cv.flip(img, 0))plt.subplot(2,2,4),plt.imshow(cv.flip(img, -3))# plt.xticks([]),plt.yticks([])plt.show()
注意：cv.flip(img, 0)，cv.flip(img, 1)， cv.flip(img, -1)的区别
对称四象限图比较说明镜像结果，本文实现在 pycharm+win7+opencv3+ python3