Presentation 2011-03-03
Image Abstraction by Using Space-Filling Curve Based on Minimum Spanning Tree Aiming at Structural-Context-Preservation
Takanori KOGA, Noriaki SUETAKE,
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Abstract(in English) We propose a novel image abstraction method in which one-dimensional vector ε-filter is applied to an input image along a space-filling curve constructed by using a minimum spanning tree reflecting structural context of the input image. The structural-context-preserving image abstraction capability of the proposed method is verified by some comparisons with conventional image abstraction methods.
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Keyword(in English) Image Abstraction / Space-filling Curve / Minimum Spanning Tree / Edge-Preserving Smoothing
Paper # SIS2010-56
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Committee SIS
Conference Date 2011/2/24(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Image Abstraction by Using Space-Filling Curve Based on Minimum Spanning Tree Aiming at Structural-Context-Preservation
Sub Title (in English)
Keyword(1) Image Abstraction
Keyword(2) Space-filling Curve
Keyword(3) Minimum Spanning Tree
Keyword(4) Edge-Preserving Smoothing
1st Author's Name Takanori KOGA
1st Author's Affiliation Department of Computer Science and Electronic Engineering, Tokuyama College of Technology()
2nd Author's Name Noriaki SUETAKE
2nd Author's Affiliation Graduate School of Science and Engineering, Yamaguchi University
Date 2011-03-03
Paper # SIS2010-56
Volume (vol) vol.110
Number (no) 445
Page pp.pp.-
#Pages 4
Date of Issue