<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research.</p></abstract>

This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research.

Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images

Institute of Control and Computation Engineering, Universityof Zielona Góra, ul. Podgórna 50, 65-246 Zielona Góra, Poland

International Journal of Applied Mathematics and Computer Science

{"article-title":"Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images"}

This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata...

Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images

Pubblicato online: 16 giu 2008

Pagine: 159 - 170

DOI: https://doi.org/10.2478/v10006-008-0015-x

Parole chiave
cytological image segmentation, Hough transform, watershed algorithm, active contours, cellular automata GrowCut method

This content is open access.

Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images

Pubblicato online: 16 giu 2008

Pagine: 159 - 170

DOI: https://doi.org/10.2478/v10006-008-0015-x

Parole chiavecytological image segmentation, Hough transform, watershed algorithm, active contours, cellular automata GrowCut method

This content is open access.

Parole chiave
cytological image segmentation, Hough transform, watershed algorithm, active contours, cellular automata GrowCut method