Paper Info
Title
A sub-pixel resolution method for chromosome band profile extraction.
Abstract
Chromosome classification is the essential task of karyotyping analysis which is videly used for detecting genetic anomalities. Chromosomesu0027 band profiles based feature vectors are used frequently in the classification of them. Extracting of band profiles specially in the bent parts of chromosome may be lossy. In this study, an special sub-pixel resolution based method for lossless exctraction of chromosomesu0027 band profile is proposed. This method models the skeleton of chromosomes as piece-wise linear equations using normal lines to the chromosome boundary. Based on the obtained model, extracting of band profiles is done by forming the skeleton normal lines in the sub-pixel resolution. For evaluation the accuracy of band profile extraction, a measure defined as Percent of Band Profile Loss demonstrates the proposed method as an alternative method which results to lossless chromosome band profile extraction.
Year
Venue
Field
2017
SIU
Computer vision,Linear equation,Feature vector,Pattern recognition,Lossy compression,Computer science,Sub-pixel resolution,Feature extraction,Karyotype,Artificial intelligence,Chromosome Band,Lossless compression
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Yaser Moazzen141.77
Abdulkerim Çapar2194.28
Behcet Ugur Töreyin300.68