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Proceedings Paper

Statistical model of interpolation and its application to texture segmentation
Author(s): Yurii N. Bakhvalov; Alexey S. Potapov
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Paper Abstract

This work addresses the problem of pattern recognition as the task of n-dimensional interpolation of the probability density function with subsequent thresholding. Interpolating function that describes given learning data set is treated as a random process. The task is reduced to simultaneous linear equations. The proposed method can be considered as the construction of an RBF neural network with nonstandard transfer function. The transfer function is chosen to minimize energy of the random process spectrum. Applications of the developed algorithm to the task of texture segmentation are given and comparison with alternative approaches is carried out.

Paper Details

Date Published: 29 April 2005
PDF: 8 pages
Proc. SPIE 5831, Eighth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering, (29 April 2005); doi: 10.1117/12.619694
Show Author Affiliations
Yurii N. Bakhvalov, Cherepovets State Univ. (Russia)
Alexey S. Potapov, Vavilov State Optical Institute (Russia)


Published in SPIE Proceedings Vol. 5831:
Eighth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering
Alexander I. Melker, Editor(s)

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