Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10823
Title: Efficient texture classification using Fuzzy Morphological Opening
Authors: Chau, CP
Siu, WC 
Poon, JCH
Issue Date: 1997
Publisher: IEEE
Source: IEEE Pacific RIM Conference on communications, computers, and signal processing - Proceedings, 1997, v. 2, p. 819-822 How to cite?
Abstract: In this paper, some texture images are analyzed and classified by the Fuzzy Morphological Opening. The basic idea is to use a family of multi-scaled structuring elements to open the texture image. A spectrum is then formed by calculating the differences among the areas of successive opened images. With different shapes of the structuring elements, a corresponding spectrum can be obtained, and consequently by comparing the sets of the spectra of the textures, proper classification can be made. Both of the spectral and structural information can be obtained by this technique and the accuracy of the classification can reach 84% with only one training sample.
Description: Proceedings of the 1997 6th IEEE Pacific Rim Conference on Communications, Computers and Signal Processing. Part 1 (of 2), Victoria, Can, 20-22 August 1997
URI: http://hdl.handle.net/10397/10823
Appears in Collections:Conference Paper

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