DC Field | Value | Language |
---|---|---|
dc.contributor.author | 유지성 | - |
dc.contributor.author | 황성수 | - |
dc.contributor.author | 김성대 | - |
dc.date.accessioned | 2013-03-29T13:15:56Z | - |
dc.date.available | 2013-03-29T13:15:56Z | - |
dc.date.created | 2012-07-08 | - |
dc.date.issued | 2012-06-29 | - |
dc.identifier.citation | 2012년도 대한전자공학회 하계종합학술대회, v.35, no.1, pp.1358 - 1359 | - |
dc.identifier.uri | http://hdl.handle.net/10203/170949 | - |
dc.description.abstract | This paper presents a method for image segmentation by clustering superpixels based on histogram dissimilarity. A superpixel is a tiny image fragment which contains the edge or boundary information of sub-regions in the image. Each sub-region consists of multiple superpixels which have a similar texture. In the proposed method, K-means clustering algorithm based on the color histogram dissimilarity is used to merge superpixels to a sub-region. A dissimilarity between two color histograms calculated by the divergence measures. Experimental results show that the proposed segmentation method extract sub-regions reasonably from images. | - |
dc.language | Korean | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 수퍼픽셀 군집화를 통한 영상 분할 | - |
dc.title.alternative | Image Segmentation via Clustering Superpixels | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.volume | 35 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 1358 | - |
dc.citation.endingpage | 1359 | - |
dc.citation.publicationname | 2012년도 대한전자공학회 하계종합학술대회 | - |
dc.identifier.conferencecountry | KO | - |
dc.identifier.conferencelocation | 제주 | - |
dc.contributor.localauthor | 김성대 | - |
dc.contributor.nonIdAuthor | 유지성 | - |
dc.contributor.nonIdAuthor | 황성수 | - |
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