A chromosome image recognition method based on subregions

Authors:
Toru Abe;Chieko Hamada;Tetsuo Kinoshita
Affiliations:
Tohoku University, Sendai, Japan;Tohoku University, Sendai, Japan;Tohoku University, Sendai, Japan
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Year:
2009

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Abstract

To make a visual examination of a chromosome image for various chromosome abnormalities, individual chromosome regions have to be determined in a subject image and classified into distinct chromosome types in advance We propose a subregion based method to improve this process The proposed method regards each chromosome region as a series of subregions and iterates a search for subregions in the subject image consecutively In this method, chromosome region classification can be performed simultaneously with its determination for each subregion, and features in the subregions can be integrated effectively for recognizing (determining and classifying) the entire chromosome region.