{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:52:57Z","timestamp":1777704777859,"version":"3.51.4"},"reference-count":21,"publisher":"SAGE Publications","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,6,21]]},"abstract":"<jats:p>In chromosome analysis, centromere is an essential component. By analyzing centromere, genetic disorder can be identified easily. In this paper, automatic classification and centromere detection in human chromosome image using Band Distance Feature is proposed. Initially the microscopic image of G-band chromosome is preprocessed in order to remove the blobs. Then, the image is segmented using labelling algorithm and the endpoints are calculated. Now, the overlapping chromosomes are removed when the number of end points is greater than two. The non-overlapped chromosomes are straightened using Reversible Projection algorithm. From the straightened chromosome band distance feature is calculated. The extracted features are given to the ANN classifier to identify the class of chromosome and to calculate the centromere. From the experimental results, it is observed that the proposed method is superior to the traditional method.<\/jats:p>","DOI":"10.3233\/jifs-202682","type":"journal-article","created":{"date-parts":[[2021,5,5]],"date-time":"2021-05-05T04:43:29Z","timestamp":1620189809000},"page":"11463-11474","source":"Crossref","is-referenced-by-count":0,"title":["An efficient algorithm for automatic classification and centromere detection in G-band human chromosome image using band distance feature"],"prefix":"10.1177","volume":"40","author":[{"given":"P.","family":"Saravana Kumar","sequence":"first","affiliation":[{"name":"Department of ECE, Kalasalingam Institute of Technology, Tamilnadu, India"}]},{"given":"S.","family":"Vasuki","sequence":"additional","affiliation":[{"name":"Department of ECE, Velammal College of Engineering and Technology, Tamilnadu, India"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-202682_ref1","doi-asserted-by":"crossref","unstructured":"Legrand B. , Chang C.S. , Ong S.-H. , Neo S.-Y. and Palanisamy N. , Automated Identification of Chromosome Segments Involved in Translocations by Combining Spectral Karyotyping and Banding Analysis,Part A: Systems And Humans}, IEEE Transactions On Systems Man And Cybernetics{\u2014 38(6) (2008).","DOI":"10.1109\/TSMCA.2008.2003963"},{"key":"10.3233\/JIFS-202682_ref2","doi-asserted-by":"crossref","unstructured":"Willcocks C.G. , Jackson P.T.G. , Nelson C.J. and Obara B. , Extracting 3D Parametric Curves from 2D Images of Helical Objects, IEEE Transactions on Pattern Analysis and Machine Intelligence 39(9) (2017).","DOI":"10.1109\/TPAMI.2016.2613866"},{"key":"10.3233\/JIFS-202682_ref3","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1007\/s10762-010-9640-1","article-title":"Automatic Pattern Extraction and Classification for Chromosome Images","volume":"31","author":"Ming","year":"2010","journal-title":"J Infrared Milli Terahz Waves"},{"issue":"2","key":"10.3233\/JIFS-202682_ref4","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1080\/2151237X.2007.10129236","article-title":"Adaptive Thresholding Using the Integral Image","volume":"12","author":"Bradley","year":"2007","journal-title":"Journal of Graphics Tools"},{"key":"10.3233\/JIFS-202682_ref5","doi-asserted-by":"crossref","unstructured":"Grisan E. , Poletti E. and Ruggeri A. , Automatic Segmentation and Disentangling of Chromosomes in Q-Band Prometaphase Images, IEEE Transactions On Information Technology In Biomedicine 13(4) (2009).","DOI":"10.1109\/TITB.2009.2014464"},{"key":"10.3233\/JIFS-202682_ref6","unstructured":"He L. , Chao Y. and Suzuki K. , A new Algorithm for Labeling Connected-Components and Calculating the Euler Number, Connected-Component Number, and Hole Number, International Conference on Pattern Recognition (ICPR 2012), November 11\u201315, (2012). 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