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Titolo:
Texture boundary detection using 2-D Gabor elementary functions
Autore:
Okombi-Diba, BR; Miyamichi, J; Shoji, K;
Indirizzi:
Utsunomiya Univ, Fac Engn, Dept Comp Sci, Utsunomiya, Tochigi 3218585, Japan Utsunomiya Univ Utsunomiya Tochigi Japan 3218585 , Tochigi 3218585, Japan
Titolo Testata:
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
fascicolo: 6, volume: E84D, anno: 2001,
pagine: 727 - 740
SICI:
0916-8532(200106)E84D:6<727:TBDU2G>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
IMAGE REPRESENTATION; SPATIAL-FREQUENCY; EDGE-DETECTION; SEGMENTATION; FILTERS; WAVELET; ORIENTATION; VISION;
Keywords:
Gabor filters; feature extraction; edge detection; channel grouping; texture segmentation;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
47
Recensione:
Indirizzi per estratti:
Indirizzo: Okombi-Diba, BR Utsunomiya Univ, Fac Engn, Dept Comp Sci, Utsunomiya, Tochigi 3218585, Japan Utsunomiya Univ Utsunomiya Tochigi Japan 3218585 5, Japan
Citazione:
B.R. Okombi-Diba et al., "Texture boundary detection using 2-D Gabor elementary functions", IEICE T INF, E84D(6), 2001, pp. 727-740

Abstract

A framework is proposed for segmenting image textures by using Gabor filters to detect boundaries between adjacent textured regions. By performing a multi-channel filtering of the input image with a small set of adaptively selected Gabor filters, tuned to underlying textures, feature images are obtained. To reduce the variance of the filter output for better texture boundary detection, a Gaussian post-filter is applied to the Gabor filter response over each channel. Significant local variations in each channel responseare detected using a gradient operator, and combined through channel grouping to produce the texture gradient. A subsequent post-processing produces expected texture boundaries. The effectiveness of the proposed technique isdemonstrated through experiments, on synthetic and natural textures.

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Documento generato il 05/04/20 alle ore 19:40:12