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For a medical expert, examination of such lengthy videos is time-consuming and tiresome. Also, the accuracy of diagnosis will largely depend upon individual expertise. A computer-aided diagnosis (CAD) system can significantly improve accuracy and reduce diagnosis time. In the proposed automated ulcer detection system, relevant features of the histogram of oriented gradients (HOG) and uniform local binary patterns (LBP) are optimally selected by high variance low correlation (HVLC) based novel feature selection technique and the classification task is performed using support vector machine (SVM). Proposed feature selection technique reduces the feature set by 96.53% and outperforms five other state of the art feature selection techniques. The performance of proposed system is compared with other systems and it performs with accuracy, F measure and sensitivity of 95%, 95.12%, and 97.5% respectively.<\/jats:p>","DOI":"10.3233\/jifs-182883","type":"journal-article","created":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T15:47:01Z","timestamp":1560527221000},"page":"1491-1498","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Computer aided diagnosis system for ulcer detection in capsule endoscopy using optimized feature set"],"prefix":"10.1177","volume":"37","author":[{"given":"Kuntesh K.","family":"Jani","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Subodh","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, National Institute of Technology, Patna, Bihar, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajeev","family":"Srivastava","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,6,11]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2011.10.004"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40846-016-0190-4"},{"issue":"3","key":"e_1_3_1_4_2","first-page":"886","article-title":"Histograms of Oriented Gradients for Human Detection","volume":"1","author":"Dalal N.","year":"2004","unstructured":"DalalN. and TriggsW., Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR05 1 (3) (2004), 886\u2013893. doi:https:\/\/doi.org\/10.1109\/CVPR.2005.177.","journal-title":"2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR05"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.5121\/ijcnc.2014.6315"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783345"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.574797"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2015.7419005"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2011.2155064"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008280620621"},{"key":"e_1_3_1_12_2","first-page":"1725","article-title":"A new method for ulcer detection in endoscopic images,","author":"Koshy N.E.","year":"2015","unstructured":"KoshyN.E. and GopiV.P., A new method for ulcer detection in endoscopic images,, 2nd International Conference on Electronics and Communication Systems, ICECS 2015. 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