Estimation of Band Level Resolutionsof Human Chromosome Images

Journal
UTCC Engineering Research Papers
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2012
Author(s)
Sethakulvichai, W.
Wiboonrat, M.
Lilakiatsakun, W.
Assawamakin, A.
Tongsima, S.
Other Contributor(s)
University of the Thai Chamber of Commerce. School of Engineering
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. A discussion on how to improve the overall accuracy is also provided.
Subject(s)
Computer and Multimedia Engineering
ISSN
1906-1625
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder(s)
University of the Thai Chamber of Commerce
Bibliographic Citation
W. Sethakulvichai, S. Manitpornsut, M. Wiboonrat, W. Lilakiatsakun, A. Assawamakin, S. Tongsima (2012) Estimation of Band Level Resolutionsof Human Chromosome Images. UTCC Engineering Research Papers.
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