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_function import cv2 as cv import numpy as np import argparse import sys modes = (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 images imgs = [] 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 np import cv2 from cv2 import Stitcher if __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自学编程网。
