Two robust techniques for segmentation of biomedical images
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| Format: | Artículo científico |
| Language: | en |
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Instituto Politécnico Nacional
2006
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| _version_ | 1876455908799676416 |
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| author | Patricio J. Castillo |
| author_facet | Patricio J. Castillo |
| contents | Two robust techniques for segmentation of biomedical images Patricio J. Castillo Ana G. Suárez Ebroul Izquierdo Roberto Rodríguez Valia Guerra Computación mean shift spectral methods Image segmentation 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. 2006 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61590406 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.9 |
| format | Artículo científico |
| id | redalyc_61590406 |
| institution | Redalyc |
| language | en |
| publishDate | 2006 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Two robust techniques for segmentation of biomedical images Patricio J. Castillo Computación mean shift spectral methods Image segmentation Two robust techniques for segmentation of biomedical images Patricio J. Castillo Ana G. Suárez Ebroul Izquierdo Roberto Rodríguez Valia Guerra Computación mean shift spectral methods Image segmentation 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. 2006 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61590406 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.9 |
| title | Two robust techniques for segmentation of biomedical images |
| topic | Computación mean shift spectral methods Image segmentation |
| url | https://www.redalyc.org/articulo.oa?id=61590406 |