Title :
Chromosome image recognition with subregion search iteration
Author :
Abe, Toru ; Hamada, Chieko ; Kinoshita, Tetsuo
Author_Institution :
Cyberscience Center, Tohoku Univ., Sendai, Japan
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;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414537