Full Pixel Matching between Images for Non-linear Registration of Objects

Full Pixel Matching between Images for Non-linear Registration of Objects
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DOI：
10.2197/ipsjtcva.2.1
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发表时间：
2010
期刊：
IPSJ Trans. Comput. Vis. Appl.
影响因子：
--
通讯作者：
Y. Yaguchi;K. Iseki;R. Oka
Y. Yaguchi;K. Iseki;R. Oka
中科院分区：
其他
文献类型：
--
作者：
Y. Yaguchi;K. Iseki;R. Oka

文献摘要

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提出了一种二维连续动态规划（2DCDP）方法用于图像的二维点识别。斑点识别是通过参考图像和输入图像之间的最佳像素匹配来同时分割和识别图像。该方法实现了传统算法无法实现的逐像素图像匹配和二维像素对齐。实验结果表明，该算法能精确匹配非线性变形图像的像素。
A two-dimensional continuous dynamic programming (2DCDP) method is proposed for two-dimensional (2D) spotting recognition of images. Spotting recognition is the simultaneous segmentation and recognition of an image by optimal pixel matching between a reference image and an input image. The proposed method performs optimal pixel-wise image matching and 2D pixel alignment, which are not available in conventional algorithms. Experimental results show that 2DCDP precisely matches the pixels of nonlinearly deformed images.