Cytoplasm image segmentation by spatial fuzzy clustering

Authors:
Laura Caponetti;Giovanna Castellano;Vito Corsini;Teresa M. A. Basile
Affiliations:
Università degli Studi di Bari - Dipartimento di Informatica, Bari, Italy;Università degli Studi di Bari - Dipartimento di Informatica, Bari, Italy;Università degli Studi di Bari - Dipartimento di Informatica, Bari, Italy;Università degli Studi di Bari - Dipartimento di Informatica, Bari, Italy
Venue:
WILF'11 Proceedings of the 9th international conference on Fuzzy logic and applications
Year:
2011

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Abstract

This work presents an approach based on image texture analysis to obtain a description of oocyte cytoplasm which could aid the clinicians in the selection of oocytes to be used in the assisted insemination process. More specifically, we address the problem of providing a description of the oocyte cytoplasm in terms of regular patterns of granularity which are related to oocyte quality. To this aim, we perform a texture analysis on the cytoplasm region and apply a spatial fuzzy clustering to segment the cytoplasm into different granular regions. Preliminary experimental results on a collection of light microscope images of oocytes are reported to show the effectiveness of the proposed approach.