Extraction of binary patterns for image de-noising using data mining.

Manohar Annappa Koli; S Balaji

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Extraction of binary patterns for image de-noising using data mining.

Author(s)

Manohar Annappa Koli Department of Computer Science, University Bdt College of Engineering, Davangere-577004, Karnataka, India

S Balaji Department of Computer Science and Engineering, City Engineering College, Bangalore-560061, India

Abstract

Data mining techniques are very powerful and are widely used for solving problems in image processing applications. This paper identifies the 3X3 decidable, frequently occurring binary patterns from a given set of binary images. The identified patterns are used for image de-noising and are found to be very useful in effective removal of particularly binary noise from binary images. These patterns can also be used in other applications of image processing including image compression and image transmission. To identify decidable frequently occurring binary image patterns 95% of confidence level and 999 frequency support are used to get accurate results. Experimental results of patterns used in binary image de-noising show that patterns are very effective and reliable in removal of noise.

Publication Details

Page(s) 37-45

DOI DOI not available

Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 46, Issue: 1, Year: 2012

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