DocumentCode
2040930
Title
An urn theoretical approach towards modelling of thinning algorithms
Author
Ray, K. ; Ray, A.K.
Author_Institution
Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol., Kharagpur, India
Volume
2
fYear
1993
fDate
19-21 Oct. 1993
Firstpage
914
Abstract
The urn theoretic model introduced has been applied in deducing some interesting results for image processing. One of the most intuitively appealing applications of urn models is in the area of stochastic learning theory. Using this concept, the performance of a class of pattern thinning algorithms in image processing has been analysed. The performance can be visualized as the probability of a correct response in a multiple choice problem. A simple replacement model has been used for the performance analysis of some thinning algorithms.<>
Keywords
image processing; learning (artificial intelligence); stochastic systems; image processing; multiple choice problem; pattern thinning; performance analysis; replacement model; stochastic learning theory; thinning algorithms; urn theoretical approach; Equations; Pixel; Skeleton; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location
Beijing, China
Print_ISBN
0-7803-1233-3
Type
conf
DOI
10.1109/TENCON.1993.320161
Filename
320161
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