NDLI: A comparison of genetic algorithm, regression, and Newton's method for parameter estimation of texture models

Content Provider	IEEE Xplore Digital Library
Author	Davidson, J.L. Xia Hua Ashlock, D.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA (Davidson, J.L.; Xia Hua)
Abstract	The estimation of parameter values in stochastic models for texture image data is the focus of this paper. We present a comparison of three methods that seek optimal solutions to a problem of stochastic model selection in texture data. The problem is to find parameter values for the model that "best" fits the texture data. The three methods used to solve this problem are genetic algorithms, logistic regression, and Newton's method. We present a comparison of the results of these three techniques to both synthetic and real data. For synthetic data, the values estimated by the genetic algorithm, logistic regression, and Newton's method gave textures that were practically indistinguishable from the original textures. For real data, the results are encouraging and warrant continued investigation.
Starting Page	201
Ending Page	206
File Size	500299
Page Count	6
File Format	PDF
ISBN	0780332008
DOI	10.1109/IAI.1996.493753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-04-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Newton method Parameter estimation Stochastic processes Markov random fields Logistics Pixel Probability density function Random variables Data engineering
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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