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RESEARCH PAPERS

Image Decomposition by Data Dependent Systems

[+] Author and Article Information
S. M. Pandit, C. R. Weber

Department of Mechanical Engineering and Engineering Mechanics, Michigan Technological University, Houghton, MI 49931

J. Eng. Ind 112(3), 286-292 (Aug 01, 1990) (7 pages) doi:10.1115/1.2899588 History: Received January 01, 1988; Online April 08, 2008

Abstract

This paper presents a new digital image processing approach called image decomposition. This approach is based on a recently developed system modeling, prediction, and analysis methodology called Data Dependent Systems (DDS). DDS is an innovative approach to the application and interpretation of the well known stochastic Autoregressive Moving Average (ARMA) models. The Green’s function form of these models provides a modal decomposition of the image data with boundary features captured in the model residuals and regional feature dynamics captured by the components of the Green’s function. This approach is unique in that it provides a method for image representation and scene identification which is not dependent on geometric descriptions.

Copyright © 1990 by The American Society of Mechanical Engineers
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