Presentation 1997/1/24
Texture Segmentation Using Adaptive Lattice Filter and Self-Organizing Network
yanzhi HAN, Takayuki NAKACHI, Nozomu HAMADA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a texture image segmentation method using a two-dimensional (2-D) adaptive lattice filter and a self-organizing network. The reflection coefficients of the adaptive lattice filter are the feature vectors to be used for texture segmentation. The lattice filter has useful properties such as rapid tracking and convergence. A self-organizing network is used to cluster the feature vectors. The self-organizing network performs a hyperelipsoidal clustering (HEC) using a regularized Mahalanobis distance. The validity of this method is demonstrated through computer simulation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) two-dimensional adaptive lattice filter / normalized LMS algorithm / self-organizing network / hyperellipisoidal clustering / texture image segmentation
Paper # DSP96-130,SAT96-125,RCS96-136
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Conference Information
Committee DSP
Conference Date 1997/1/24(1days)
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Paper Information
Registration To Digital Signal Processing (DSP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Texture Segmentation Using Adaptive Lattice Filter and Self-Organizing Network
Sub Title (in English)
Keyword(1) two-dimensional adaptive lattice filter
Keyword(2) normalized LMS algorithm
Keyword(3) self-organizing network
Keyword(4) hyperellipisoidal clustering
Keyword(5) texture image segmentation
1st Author's Name yanzhi HAN
1st Author's Affiliation Department of Electrical Engineering, Faculty of Science and Technology, Keio University()
2nd Author's Name Takayuki NAKACHI
2nd Author's Affiliation Department of Electrical Engineering, Faculty of Science and Technology, Keio University
3rd Author's Name Nozomu HAMADA
3rd Author's Affiliation Department of Electrical Engineering, Faculty of Science and Technology, Keio University
Date 1997/1/24
Paper # DSP96-130,SAT96-125,RCS96-136
Volume (vol) vol.96
Number (no) 478
Page pp.pp.-
#Pages 6
Date of Issue