本文实例为大家分享了利用python和OpenCV实现图像拼接，供大家参考，具体内容如下

python+OpenCV实现image stitching

在最新的OpenCV官方文档中可以找到C++版本的Stitcher类的说明, 但是python版本的还没有及时更新, 本篇对python版本的实现做一个简单的介绍.

由于官方文档中还没有python版本的Stitcher类的说明, 因此只能自己去GitHub源码上找, 以下是stitching的样例:

from __future__ import print_functionimport cv2 as cvimport numpy as npimport argparseimport sysmodes = (cv.Stitcher_PANORAMA, cv.Stitcher_SCANS)parser = argparse.ArgumentParser(description='Stitching sample.')parser.add_argument('--mode', type = int, choices = modes, default = cv.Stitcher_PANORAMA, help = 'Determines configuration of stitcher. The default is `PANORAMA` (%d), ' 'mode suitable for creating photo panoramas. Option `SCANS` (%d) is suitable ' 'for stitching materials under affine transformation, such as scans.' % modes)parser.add_argument('--output', default = 'result.jpg', help = 'Resulting image. The default is `result.jpg`.')parser.add_argument('img', nargs='+', help = 'input images')args = parser.parse_args()# read input imagesimgs = []for img_name in args.img: img = cv.imread(img_name) if img is None: print("can't read image " + img_name) sys.exit(-1) imgs.append(img)stitcher = cv.Stitcher.create(args.mode)status, pano = stitcher.stitch(imgs)if status != cv.Stitcher_OK: print("Can't stitch images, error code = %d" % status) sys.exit(-1)cv.imwrite(args.output, pano);print("stitching completed successfully. %s saved!" % args.output)

上面写了一大堆, 然鹅, 直接拿来用的话, 用下面的代码可以了, 简单粗暴

import numpy as npimport cv2from cv2 import Stitcherif __name__ == "__main__": img1 = cv2.imread('1.jpg') img2 = cv2.imread('2.jpg') stitcher = cv2.createStitcher(False) #stitcher = cv2.Stitcher.create(cv2.Stitcher_PANORAMA), 根据不同的OpenCV版本来调用 (_result, pano) = stitcher.stitch((img1, img2)) cv2.imshow('pano',pano) cv2.waitKey(0)

效果如下：

原图：

拼接后的图像：

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。