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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5651
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dc.contributor.authorSantosh K.C.-
dc.contributor.authorAlam N.-
dc.contributor.authorPratim Roy, Partha-
dc.contributor.authorWendling L.-
dc.contributor.authorAntani S.-
dc.contributor.authorThoma G.R.-
dc.date.accessioned2020-10-06T15:56:55Z-
dc.date.available2020-10-06T15:56:55Z-
dc.date.issued2016-
dc.identifier.citationInternational Journal of Pattern Recognition and Artificial Intelligence (2016), 30(5): --
dc.identifier.issn2180014-
dc.identifier.urihttps://doi.org/10.1142/S0218001416570020-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/5651-
dc.description.abstractIn biomedical documents/publications, medical images tend to be complex by nature and often contain several regions that are annotated using arrows. In this context, an automated arrowhead detection is a critical precursor to region-of-interest (ROI) labeling and image content analysis. To detect arrowheads, in this paper, images are first binarized using fuzzy binarization technique to segment a set of candidates based on connected component (CC) principle. To select arrow candidates, we use convexity defect-based filtering, which is followed by template matching via dynamic time warping (DTW). The DTW similarity score confirms the presence of arrows in the image. Our test results on biomedical images from imageCLEF 2010 collection shows the interest of the technique, and can be compared with previously reported state-of-the-art results. © 2016 World Scientific Publishing Company.-
dc.language.isoen_US-
dc.publisherWorld Scientific Publishing Co. Pte Ltd-
dc.relation.ispartofInternational Journal of Pattern Recognition and Artificial Intelligence-
dc.subjectArrowhead detection-
dc.subjectbiomedical publications-
dc.subjectcontent-based image retrieval-
dc.subjectdocument images-
dc.subjectimage region labeling-
dc.titleA Simple and Efficient Arrowhead Detection Technique in Biomedical Images-
dc.typeArticle-
dc.scopusid14831502300-
dc.scopusid57188743556-
dc.scopusid56880478500-
dc.scopusid6701629176-
dc.scopusid6701355570-
dc.scopusid7005141497-
dc.affiliationSantosh, K.C., Department of Computer Science, University of South Dakota, 414 E Clark St, Vermillion, SD 57069, United States-
dc.affiliationAlam, N., Department of Computer Science, Indian Institute of Technology, Uttarakhand, Roorkee, 247667, India-
dc.affiliationRoy, P.P., Department of Computer Science, Indian Institute of Technology, Uttarakhand, Roorkee, 247667, India-
dc.affiliationWendling, L., LIPADE, Université Paris Descartes (Paris V), Paris Cedex 06, 75270, France-
dc.affiliationAntani, S., National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, United States-
dc.affiliationThoma, G.R., National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, United States-
dc.description.correspondingauthorSantosh, K.C.; Department of Computer Science, University of South Dakota, 414 E Clark St, United States; email: santosh.kc@usd.edu-
Appears in Collections:Journal Publications [CS]

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