Presentation | 2002/10/11 Segmentation of Images by Depth-First Searching of Minimum Spanning Trees Natsuki TSUNODA, Toshinori WATANABE, Ken SUGAWARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We study an image segmentation techique based on the minimum spanning tree (MST). In the segmentation, MST of an undirected connected graph having color pixels as nodes and color vector value differences between nodes as weights of edges is constructed. Next, eliminating those branches whose weights are larger than a given threshold value, segments are given. In this paper, noting that MST is a tree, we propose a new effective segmentation technique using the depth-first search of the MST. Noise elimination method is also discussed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | minimum spanning tree / image segmentation / depth-first search / noise |
Paper # | NC2002-55 |
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Committee | NC |
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Conference Date | 2002/10/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Segmentation of Images by Depth-First Searching of Minimum Spanning Trees |
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Keyword(1) | minimum spanning tree |
Keyword(2) | image segmentation |
Keyword(3) | depth-first search |
Keyword(4) | noise |
1st Author's Name | Natsuki TSUNODA |
1st Author's Affiliation | Graduate School of Infomation System, University of Electro-Communications() |
2nd Author's Name | Toshinori WATANABE |
2nd Author's Affiliation | Graduate School of Infomation System, University of Electro-Communications |
3rd Author's Name | Ken SUGAWARA |
3rd Author's Affiliation | Graduate School of Infomation System, University of Electro-Communications |
Date | 2002/10/11 |
Paper # | NC2002-55 |
Volume (vol) | vol.102 |
Number (no) | 382 |
Page | pp.pp.- |
#Pages | 4 |
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