{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,30]],"date-time":"2022-04-30T20:40:01Z","timestamp":1651351201697},"reference-count":12,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2015,1]]},"abstract":"<jats:p>Digital image processing techniques are very useful in abnormality detection in digital mammogram images. Nowadays, texture-based image segmentation of digital mammogram images is very popular due to its better accuracy and precision. Local binary pattern (LBP) descriptor has attracted many researchers working in the field of texture analysis of digital images. Because of its success, many texture descriptors have been introduced as variants of LBP. In this work, we propose a novel texture descriptor called generic weighted cubicle pattern (GWCP) and we analyzed the proposed operator for texture image classification. We also performed abnormality detection through mammogram image segmentation using k-Nearest Neighbors (KNN) algorithm and compared the performance of the proposed texture descriptor with LBP and other variants of LBP namely local ternary pattern (LTP<jats:sup>T<\/jats:sup>), extended local texture pattern (ELTP) and local texture pattern (LTP<jats:sup>S<\/jats:sup>). For evaluation, we used the performance metrics such as accuracy, error rate, sensitivity, specificity, under estimation fraction and over estimation fraction. The results prove that the proposed method outperforms other descriptors in terms of abnormality detection in mammogram images.<\/jats:p>","DOI":"10.1142\/s0219467815500011","type":"journal-article","created":{"date-parts":[[2015,2,26]],"date-time":"2015-02-26T02:22:14Z","timestamp":1424917334000},"page":"1550001","source":"Crossref","is-referenced-by-count":1,"title":["Empirical Evaluation of Generic Weighted Cubicle Pattern and LBP Derivatives for Abnormality Detection in Mammogram Images"],"prefix":"10.1142","volume":"15","author":[{"given":"A.","family":"Suruliandi","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu 627012, India"}]},{"given":"G.","family":"Murugeswari","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu 627012, India"}]},{"given":"P.","family":"Arockia Jansi Rani","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu 627012, India"}]}],"member":"219","published-online":{"date-parts":[[2015,2,25]]},"reference":[{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2044957"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.5120\/3422-4185"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1118\/1.597626"},{"key":"rf15","unstructured":"M.\u00a0Sameti and R. K.\u00a0Ward, Digital Mammography, Int. Congress Series, ed. K.\u00a0Doi (Elsevier, Amsterdam, the Netherlands, 1996)\u00a0pp. 471\u2013474."},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2010.2051060"},{"key":"rf20","doi-asserted-by":"crossref","unstructured":"W. P.\u00a0Kegelmeyer, Digital Mammography Text Book (Lippincot Williams and Wilkons, USA, 1994)\u00a0pp. 331\u2013337.","DOI":"10.1148\/radiology.191.2.8153302"},{"key":"rf21","doi-asserted-by":"publisher","DOI":"10.1109\/42.414622"},{"key":"rf22","unstructured":"M. L.\u00a0Comer, S.\u00a0Liu and E. J.\u00a0Delp, Digital Mammography, Int. Congress Series, ed. K.\u00a0Doi (Elsevier, Amsterdam, the Netherlands, 1996)\u00a0pp. 471\u2013474."},{"key":"rf23","doi-asserted-by":"publisher","DOI":"10.1118\/1.1381548"},{"key":"rf24","volume":"14","author":"Hberle L.","year":"2012","journal-title":"Breast Cancer Research"},{"key":"rf26","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2009.2033625"},{"key":"rf29","volume-title":"Texture A Photographic Album for Artists and Designers","author":"Brodatz P.","year":"1968"}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219467815500011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,30]],"date-time":"2022-04-30T20:12:20Z","timestamp":1651349540000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219467815500011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1]]},"references-count":12,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2015,2,25]]},"published-print":{"date-parts":[[2015,1]]}},"alternative-id":["10.1142\/S0219467815500011"],"URL":"https:\/\/doi.org\/10.1142\/s0219467815500011","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,1]]}}}