Segmentation of Blood Vessels Based on a Threshold that Combines Statistical and Scale Space Filters

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Autore principale: Roberto Rodríguez
Natura: Artículo científico
Lingua:en
Pubblicazione: Instituto Politécnico Nacional 2005
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author Roberto Rodríguez
author_facet Roberto Rodríguez
contents Segmentation of Blood Vessels Based on a Threshold that Combines Statistical and Scale Space Filters Roberto Rodríguez Computación Scale space filter Image segmentation Thresholding method Angiogenesis process This paper presents a strategy for segmenting blood vessels based on the threshold, which-combines statistic and scale space filter. By incorporating statistical information, the strategy is capable of reducing over-segmentation. We propose a three stage strategy which involves: (1) optimal selection of window size; (2) optimal selection of scale and (3) segmentation process. We compared our strategy to two commonly used thresholding techniques. Experimental results showed that our method is much more robust and accurate. Our strategy suggested a modification to Otsu`s method. In this application the important information to be extracted from images is only the number of blood vessels present in the images. The proposed strategy was tested on manual segmentation, where segmentation errors less than 3% for false positives and 0% for false negatives are observed. The work presented in this paper is a part of a global image analysis process. Therefore, these images will be subject to a further morphometrical analysis in order to diagnose and predict automatically malign tumors. 2005 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61590202 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.9
format Artículo científico
id redalyc_61590202
institution Redalyc
language en
publishDate 2005
publisher Instituto Politécnico Nacional
spellingShingle Segmentation of Blood Vessels Based on a Threshold that Combines Statistical and Scale Space Filters
Roberto Rodríguez
Computación
Scale
space filter
Image segmentation
Thresholding method
Angiogenesis process
Segmentation of Blood Vessels Based on a Threshold that Combines Statistical and Scale Space Filters Roberto Rodríguez Computación Scale space filter Image segmentation Thresholding method Angiogenesis process This paper presents a strategy for segmenting blood vessels based on the threshold, which-combines statistic and scale space filter. By incorporating statistical information, the strategy is capable of reducing over-segmentation. We propose a three stage strategy which involves: (1) optimal selection of window size; (2) optimal selection of scale and (3) segmentation process. We compared our strategy to two commonly used thresholding techniques. Experimental results showed that our method is much more robust and accurate. Our strategy suggested a modification to Otsu`s method. In this application the important information to be extracted from images is only the number of blood vessels present in the images. The proposed strategy was tested on manual segmentation, where segmentation errors less than 3% for false positives and 0% for false negatives are observed. The work presented in this paper is a part of a global image analysis process. Therefore, these images will be subject to a further morphometrical analysis in order to diagnose and predict automatically malign tumors. 2005 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61590202 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.2 Vol.9
title Segmentation of Blood Vessels Based on a Threshold that Combines Statistical and Scale Space Filters
topic Computación
Scale
space filter
Image segmentation
Thresholding method
Angiogenesis process
url https://www.redalyc.org/articulo.oa?id=61590202