DocumentCode
3496244
Title
Chromosome image recognition with subregion search iteration
Author
Abe, Toru ; Hamada, Chieko ; Kinoshita, Tetsuo
Author_Institution
Cyberscience Center, Tohoku Univ., Sendai, Japan
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
4169
Lastpage
4172
Abstract
To make a visual examination of various chromosome abnormalities, individual chromosome regions have to be determined in an 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 the features in subregions can be integrated effectively for recognizing an entire chromosome region.
Keywords
cellular biophysics; image recognition; medical image processing; chromosome image recognition; chromosome region classification; chromosome types; subregion search iteration; Biological cells; Data mining; Genetics; Image recognition; Pattern recognition; Toxicology; Chromosome image; region classification; region determination; subregion search;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414537
Filename
5414537
Link To Document