Integral probability metrics for texture image analysis

Abstract

The paper is devoted to the development of kernels for texture images. We suggest using integral probability metrics as a similarity measure of texture images on which the kernels proposed are based. The kernels have been analysed using the method of discriminant analysis and the support vector method for test image sets.

About the authors

A. I. Plastinin

Samara State Aerospace University

Author for correspondence.
Email: anatoliy.plastinin@gmail.com

Post-graduate Student

Russian Federation

References

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