映像情報メディア学会技術報告
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
25.11
セッションID: MIP2001-35/AIT2001-3
会議情報
GRAPH-BASED COLOR IMAGE SEGMENTATION USING EDGE MAGNITUDE FOR IMAGE UNDERSTANDING
Hiroki TakahashiMasayuki Nakajima
著者情報
会議録・要旨集 フリー

詳細
抄録
This paper proposes color image segmentation algorithm which is aimed to assist image understanding. The proposed method is based on graph-based approach and employs comparison function proposed by P.F.Felzenszwalb et.al.. At first, variable weighted gaussian smoothing filter, which is also proposed in this paper to remain edge property, is performed to an image. Next, graph is generated, in which eight neighbor pixels are defined as nodes and, the distance of color in L^*u^*v^* color space and edge magnitude are defined as edge weights. Based on this graph, image is segmented. Finally, the segmented regions are integrated using inclusion relation among regions.
著者関連情報
© 2001 The Institute of Image Information and Television Engineers
前の記事 次の記事
feedback
Top