This project forked from samggggflynn/image-stitching-opencv
使用Python-OpenCV对多张图片进行全景图像拼接，消除鬼影，消除裂缝。
Home Page: https://samgggg.tk/
代码来自pyimagesearch
对多张图片进行基于SIFT的特征检测算法，如果符合最小拼接要求大的关键点matchKeypoints数量，使用OpenCV-Python自带的stitching方法进行全景拼接，但是对于拼接后的黑边裁剪效果不好，可以修改优化。
python image_stitching.py --images images/scottsdale --output output.png --crop 1
其中images/scottsdale为待拼接图像所在文件夹，output.png为处理拼接保存后的图像；这里使用了相对路径，因为在工程根目录下运行了终端。不确定在根目录最好使用完整的绝对路径。 --crop 1为是否裁剪黑色边框，缺省则不裁剪。
相比其他方式，因为使用了较好的匹配关键点，所以拼接没有裂缝，没有鬼影
示例1：有裂缝（两张图片拼接中间有竖着的裂缝）
示例2：有鬼影（重影，由于拼接范围内有运动物体）
示例3：使用上面pyimagesearch的代码，没有裂缝和鬼影
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