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基于小波包的图像拼接算法
引用本文:王文波,费浦生. 基于小波包的图像拼接算法[J]. 激光与红外, 2006, 36(3): 238-240
作者姓名:王文波  费浦生
作者单位:武汉大学教学与统计学院,湖北,武汉,430072;武汉大学教学与统计学院,湖北,武汉,430072
摘    要:
针对噪声环境下的图像拼接方法,本文给出了一种基于小波包变换与数学形态学的方法。首先是对拼接图像进行小波降噪,然后利用形态学寻找主要特征物进行定位和对比,再通过样条函数构造的小波包对图像在不同尺度下的小波包分量进行拼接。实验表明,该方法可以较好地消除拼缝的影响,得到很好的拼接图。

关 键 词:多尺度分析  小波包变换  形态学  样条插值  图像拼接
文章编号:1001-5078(2006)03-0238-03
收稿时间:2005-08-08
修稿时间:2005-08-082005-09-26

The Algorithm of Stitching Images Based on Wavelet Packed Transform and Mathematical Morphology
WANG Wen-bo,FEI Pu-sheng. The Algorithm of Stitching Images Based on Wavelet Packed Transform and Mathematical Morphology[J]. Laser & Infrared, 2006, 36(3): 238-240
Authors:WANG Wen-bo  FEI Pu-sheng
Affiliation:School of Math, and Static, Wuhan Uninversity, Wuhan 430072, China
Abstract:
In this paper, we present a stitching algorithm for overlapping noise images based on wavelet packet transform and mathematical morphology. Firstly, removing noise by wavelet transform and extracting main characteristic component by mathmatical morphology, then stitching each scale images based on B-spline wavelet packet transform. Experimental results indicate the method makes images match correctly and stitch images seamless and smooth.
Keywords:multi-scale   wavelet packet transform   mathematical morphology   B-spline    image stitch
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