Feature Extraction Toolbox and image segmentation using cellular neural networks
Keywords and Phrases
Feature Extraction Toolbox (FET)
"Feature Extraction Toolbox (FET) is a generalized pattern-recognition application for analysis and diagnosis of single dimensional multiband signals and two dimensional multispectral image data. The toolbox can be used in wide variety of engineering applications...Five new image analysis and pattern classification techniques have been incorporated into the toolbox library. Four of them are related to image processing and analysis and one falls under the pattern recognition system of FET."--Abstract, leaf iii.
Electrical and Computer Engineering
M.S. in Computer Engineering
University of Missouri--Rolla
ix, 66 leaves
© 2004 Shiva Kumar Sooryavaram, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Pattern recognition systems
Neural networks (Computer science)
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5283197~S5
Sooryavaram, Shiva Kumar, "Feature Extraction Toolbox and image segmentation using cellular neural networks" (2004). Masters Theses. 2643.
This document is currently not available here.