Paper
29 April 2005 Statistical model of interpolation and its application to texture segmentation
Yurii N. Bakhvalov, Alexey S. Potapov
Author Affiliations +
Proceedings Volume 5831, Eighth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering; (2005) https://doi.org/10.1117/12.619694
Event: Eighth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering, 2004, St. Petersburg, Russian Federation
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yurii N. Bakhvalov and Alexey S. Potapov "Statistical model of interpolation and its application to texture segmentation", Proc. SPIE 5831, Eighth International Workshop on Nondestructive Testing and Computer Simulations in Science and Engineering, (29 April 2005); https://doi.org/10.1117/12.619694
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Neural networks

Pattern recognition

Correlation function

Detection and tracking algorithms

3D modeling

Algorithm development

Back to Top