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Proceedings Paper

Texture classification using morphological gradient texture spectrum
Author(s): Jia-hong Lee; Yuang-cheh Hsueh
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Paper Abstract

In this paper, a new notion called Morphological Gradient Texture Spectrum (MGTS) is proposed for texture analysis and classification. The MGTS is used as a discriminating tool in texture analysis and classification. To evaluate the performance of the proposed method in the discrimination of textures, we perform a supervised classification procedure to classify texture images extracted from Brodatz's album. A simple measure is defined to determine the distance between two MGTS. Promising results indicate that our method is efficient in texture classification. We also evaluate two basic texture features, namely, coarseness and directionality from the MGTS for visual-perceptual feature extraction.

Paper Details

Date Published: 16 September 1994
PDF: 10 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.186023
Show Author Affiliations
Jia-hong Lee, National Chiao Tung Univ. (Taiwan)
Yuang-cheh Hsueh, National Chiao Tung Univ. (Taiwan)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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