本文实例为大家分享了python opencv实现切变换的具体代码,供大家参考,具体内容如下
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# -*- coding:gb2312 -*- import cv2 from math import * import numpy as np img = cv2.imread( "3-2.jpg" ) height,width = img.shape[: 2 ] degreeAffine = 45 #切变换最后结果 heightAffine = height widthAffine = int ( 2 * height * tan(radians(degreeAffine)) + width) # 随意两点得到仿射变换矩阵 # point1=np.float32([[50,50],[200,50],[50,200]]) # point2=np.float32([[50,50],[100,50],[50,200]]) # matAffine=cv2.getAffineTransform(point1,point2) #如果结果是正的图片 tempY = (widthAffine + 1 ) / 2 - width / 2 tempX = (heightAffine + 1 ) / 2 - height / 2 temp = np.zeros((heightAffine,widthAffine, 3 ),np.uint8) + 255 temp[tempX:(tempX + height),tempY:(tempY + width)] = img cv2.imshow( "temp" ,temp) #仿射变换矩阵 matAffine = np.zeros([ 2 , 3 ]) matAffine[ 0 , 0 ] = 1 matAffine[ 0 , 1 ] = tan(radians(degreeAffine)) matAffine[ 0 , 2 ] = (widthAffine - width) / 2 matAffine[ 1 , 0 ] = 0 matAffine[ 1 , 1 ] = 1 matAffine[ 1 , 2 ] = (heightAffine - height) / 2 imgAfiine = cv2.warpAffine(img,matAffine,(widthAffine,heightAffine),borderValue = ( 255 , 255 , 255 )) cv2.imwrite( "temp.jpg" ,temp) cv2.imwrite( "imgAffine.jpg" ,imgAfiine) cv2.imshow( "imgAffine" ,imgAfiine) |
效果图:
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/yjl9122/article/details/70853475