mk:nc96

Summary

Practical Applications of Neural Networks in Texture Analysis. Elke Biebelmann, Mario Köppen and Bertram Nickolay. Neurocomputing, 13:261-279, 1996.

Abstract

In this paper we explore and discuss important issues concerning the use of neural networks in texture analysis. The advantage of integrating a neural network as a segregator in a modular approach for texture segmentation is explained. Then we show how to use a multilayer backpropagation neural network for texture classification and state its advantages and disadvantages. To avoid the disadvantages an approach based on the capability of a selforganizing-map neural network to approximate the probability density function of input data is introduced. This ability can be used to construct a Bayesian classifier based on trained selforganizing-maps and for a neural network equivalent to the analysis of variances (ANOVA) for defect detection on texturized surfaces. Examples of texture classification are given.

Bibtex entry

@ARTICLE { mk:nc96,
    ABSTRACT = { In this paper we explore and discuss important issues concerning the use of neural networks in texture analysis. The advantage of integrating a neural network as a segregator in a modular approach for texture segmentation is explained. Then we show how to use a multilayer backpropagation neural network for texture classification and state its advantages and disadvantages. To avoid the disadvantages an approach based on the capability of a selforganizing-map neural network to approximate the probability density function of input data is introduced. This ability can be used to construct a Bayesian classifier based on trained selforganizing-maps and for a neural network equivalent to the analysis of variances (ANOVA) for defect detection on texturized surfaces. Examples of texture classification are given. },
    AUTHOR = { Elke Biebelmann and Mario Köppen and Bertram Nickolay },
    MODIFIED = { 2008-02-28 17:08:37 +0900 },
    HASABSTRACT = { Yes },
    JOURNAL = { Neurocomputing },
    PAGES = { 261--279 },
    TITLE = { Practical Applications of Neural Networks in Texture Analysis },
    VOLUME = { 13 },
    YEAR = { 1996 },
}