The Comparison between Spectral Similarity Mapping and Correlation Algorithm in Spectral Imaging Application

被引：0

作者：

Wang, Bin ^{[1
]}

Xu, Xiaoxuan ^{[1
]}

Zheng, Yifan ^{[1
]}

Zhang, Yujia ^{[1
]}

Hu, Chengxue ^{[1
]}

Zhang, Cunzhou ^{[1
]}

机构：

[1] Nankai Univ, Sch Phys, Photon Ctr, Tianjin 300071, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

Spectral Similarity Mapping; Correlation Algorithm; Spectral Imaging;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Now medical imaging processing technology is a very hot subject. The digital image processing in spectral imaging technology field is one of the incarnations. The Article is base on the experiment of fresh samples of bone cancer in adults. By using spectral similarity mapping and correlation algorithm, we get two different images. The result of correlation algorithm is fast, but unclear, while the result of spectral similarity mapping is slow, but bright and accurate. Two methods can be applied at the different stages is also be expatiated in the article. Correlation algorithm can be used for fast classification or primary screening. SSM can be used for accurate identification the fine structure.

引用

页码：4188 / 4191

页数：4

共 35 条

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