Two Robust Techniques for Segmentation of Biomedical Images

被引：0

作者：

Rodriguez, Roberto ^{[1
]}

Castillo, Patricio J. ^{[1
]}

Guerra, Valia ^{[2
]}

Suarez, Ana G. ^{[1
]}

Izquierdo, Ebroul ^{[3
]}

机构：

[1] Univ London Queen Mary, Digital Signal Proc Grp, London, England

[2] Univ London Queen Mary, Inst Cybernet Math & Phys ICIMAF, Numer Methods Grp, London, England

[3] Queen Mary London Univ, Dept Elect Engn, London, England

来源：

COMPUTACION Y SISTEMAS | 2006年 / 9卷 / 04期

关键词：

Image segmentation; mean shift; spectral methods;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image segmentation plays an important role in many systems of computer vision. According to criterions of many authors the segmentation finishes when it satisfies the goals of the observer. For that reason, an only method there is not able of solving all the problems that exists in the present time. In this work, we carry out a comparison between two segmentation techniques; namely, through the mean shift, where we give a new algorithm, and by using spectral methods. In the paper we discuss, through examples with biomedical real images, the advantages and disadvantages of them.

引用

页码：355 / 369

页数：15

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