我就废话不多说了,直接上代码吧!
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#coding=utf-8 import cv2 import numpy as np '''双线性插值''' img = cv2.imread( 'timg.jpeg' , cv2.CV_LOAD_IMAGE_GRAYSCALE) # load the gray image cv2.imwrite( 'img.jpg' , img) h, w = img.shape[: 2 ] # shrink to half of the original a1 = np.array([[ 0.5 , 0 , 0 ], [ 0 , 0.5 , 0 ]], np.float32) d1 = cv2.warpAffine(img, a1, (w, h), borderValue = 125 ) # shrink to half of the original and move a2 = np.array([[ 0.5 , 0 , w / 4 ], [ 0 , 0.5 , h / 4 ]], np.float32) d2 = cv2.warpAffine(img, a2, (w, h),flags = cv2.INTER_NEAREST,borderValue = 125 ) # rotate based on d2 a3 = cv2.getRotationMatrix2D((w / 2 , h / 2 ), 90 , 1 ) d3 = cv2.warpAffine(d2, a3, (w, h),flags = cv2.INTER_LINEAR, borderValue = 125 ) cv2.imshow( 'img' ,img) cv2.imshow( 'd1' ,d1) cv2.imshow( 'd2' ,d2) cv2.imshow( 'd3' ,d3) cv2.waitKey( 0 ) cv2.destroyAllWindows() |
以上这篇Python-opencv 双线性插值实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/clm1206/article/details/79759945