Estimation of band level resolutions of human chromosome images

Author

Sethakulvichai, W. ; Manitpornsut, S. ; Wiboonrat, M. ; Lilakiatsakun, W. ; Assawamakin, A. ; Tongsima, S.

Author_Institution

IT Grad. Sch., Mahanakorn Univ. of Technol., Bangkok, Thailand

fYear

2012

fDate

May 30 2012-June 1 2012

Firstpage

276

Lastpage

282

Abstract

Current estimation methods for band level resolutions of human chromosome images in cytogenetic laboratories are time consuming and required experienced specialists to manually perform. To alleviate this problem, in this paper, a computerized approach to estimate band level resolution is proposed. The intensity gradient profile and sign profile of chromosome images are utilized to count the number of bands. Then band level resolutions of chromosome images are classified into three categories: 400-, 500-, and 550-band levels by using k-nearest neighbor algorithm. The experimental results show the accuracy of the proposed algorithm. We also provide a discussion on how to improve the overall accuracy.

Keywords

biology computing; cellular biophysics; genetics; image classification; image resolution; 400-band levels; 500-band levels; 550-band levels; band level resolution estimation; chromosome image sign profile; computerized approach; cytogenetic laboratories; human chromosome images; intensity gradient profile; k-nearest neighbor algorithm; Biological cells; Educational institutions; Estimation; Humans; Image resolution; Laboratories; Training; band level resolution; feature extraction; image processing; k-nearest neighbor; medial axis determination;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering (JCSSE), 2012 International Joint Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4673-1920-1

Type

conf

DOI

10.1109/JCSSE.2012.6261965

Filename

6261965