Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/3515
Title: Estimation of band level resolutions of human chromosome images
Authors: Sethakulvichai, W. 
Manitpornsut, S. 
Wiboonrat, M. 
Lilakiatsakun, W. 
Assawamakin, A. 
Tongsima, S. 
Keywords: band level resolution;feature extraction;image processing;knearest neighbor;medial axis determination
Issue Date: 2012
Publisher: University of the Thai Chamber of Commerce
Source: W. Sethakulvichai, S. Manitpornsut, M. Wiboonrat, W. Lilakiatsakun, A. Assawamakin, S. Tongsima (2012) Estimation of band level resolutions of human chromosome images., 276-282.
Conference: 9th International Joint Conference on Computer Science and Software 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 550band levels by using knearestneighbor algorithm. The experimental results show the accuracy of the proposed algorithm. We also provide a discussion on how to improve the overall accuracy.
URI: https://scholar.utcc.ac.th/handle/6626976254/3515
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.
Appears in Collections:RSO: Conference Papers

Files in This Item:
File Description SizeFormat 
108.pdf121.86 kBAdobe PDFThumbnail
View/Open
Show full item record Recommend this item

Page view(s)

15
checked on Jul 11, 2019

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.