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Shape similarity measure for k nearest-neighbor queries [articol]

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dc.contributor.author Mocanu, Irina Georgiana
dc.date.accessioned 2021-09-13T10:37:39Z
dc.date.available 2021-09-13T10:37:39Z
dc.date.issued 2004
dc.identifier.citation Mocanu, Irina Georgiana. Shape similarity measure for k nearest-neighbor queries. Timişoara: Editura Politehnica, 2004 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Shape%20similarity%20measure%20for%20k%20nearest-neighbor%20queries&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract One of the content based image retrieval techniques is the shape based technique which allows users to ask for objects similar in shape to a query object. In this paper, a region-based approach to shape representation and similarity measure is presented. The proposed algorithm is based on the grid descriptor method. Its performance is compared with the grid descriptor method in case of the k nearest-neighbor queries. The performance is tested using a database of synthetic shapes. Experimental results show that the proposed method performs favorably compared with the grid based method in case of the k-nearest neighbor queries. en_US
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 2 (2004), p. 142-145
dc.subject Shape representation en_US
dc.subject Shape similarity measure en_US
dc.subject Image retrieval en_US
dc.subject Grid descriptor en_US
dc.title Shape similarity measure for k nearest-neighbor queries [articol] en_US
dc.type Article en_US


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