Texture classification using morphological gradient texture spectrum

Jia-hong Lee; Yuang-cheh Hsueh

doi:10.1117/12.186023

16 September 1994 Texture classification using morphological gradient texture spectrum

Jia-hong Lee, Yuang-cheh Hsueh

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186023
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

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.

Citation Download Citation

Jia-hong Lee and Yuang-cheh Hsueh "Texture classification using morphological gradient texture spectrum", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186023

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