Feature Extraction Toolbox and image segmentation using cellular neural networks

Author

Shiva Kumar Sooryavaram

Keywords and Phrases

Feature Extraction Toolbox (FET)

Abstract

"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, page iii.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2004

Pagination

ix, 66 pages

Rights

© 2004 Shiva Kumar Sooryavaram, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Pattern recognition systems
Image processing
Neural networks (Computer science)

Thesis Number

T 8597

Print OCLC #

58047710

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

Recommended Citation

Sooryavaram, Shiva Kumar, "Feature Extraction Toolbox and image segmentation using cellular neural networks" (2004). Masters Theses. 2643.
https://scholarsmine.mst.edu/masters_theses/2643