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

```python
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python博客。