An Efficient Approach for Color Pattern Matching Using Image Mining
| International Journal of Computer Trends and Technology (IJCTT) | |
© - September Issue 2013 by IJCTT Journal | ||
Volume-4 Issue-9 | ||
Year of Publication : 2013 | ||
Authors :Manjot Kaur, Navjot Kaur |
Manjot Kaur, Navjot Kaur"An Efficient Approach for Color Pattern Matching Using Image Mining"International Journal of Computer Trends and Technology (IJCTT),V4(9):2967-2974 September Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- The main intention of image mining is to produce all considerable patterns without any information of the image content, the patterns types are different.. First method extracts images from image databases or collection of images. Second method mines combination of associated alphanumeric data and collection of images. This increase in number of images and image databases has necessitated the need for image mining techniques. Image mining is an extended branch of data mining that is concerned with the process of knowledge discovery concerning digital images.. It not only finds the different color objects in the image but also localize them according to co-ordinates where they find in the picture. Some of the proposed techniques produced good results and some may not. However, to identify, the entire features the images are to be evaluated, in various views.
References-
[1]RamadassSudhir,”A Survey on Image Mining Techniques: Theory and Applications”, Computer Engineering and Intelligent Systems ISSN 2222-1719 (Paper) ISSN 2222-2863 (Online)Vol 2, No.6, 2011
[2] Ji Zhang Wynne Hsu Mong Li Lee,”IMAGE MINING:ISSUES, FRAMEWORKS AND TECHNIQUES”,
[3] J. S. D. Bonet. Image preprocessing for rapid selection in “Pay attention mode”,MIT, 2000.
[4] M. C. Burll,” Mining for image content. InSystemics, Cybernetics, and Informatics Information Systems”,Analysis and Synthesis,(Orlando, FL), July 1999.
[5] R. Kazman and J. Kominek.” Informationorganization in multimedia resources”,Proceedingsof the 11th annual international conference onSystems documentation, Pages 149 – 162,1993.
[6] N. Beckmann, H. P. Kriegel, R. Schneider, and B.Seeger,”The R*-tree: an efficient and robust access method for points and rectangle”,In Proc ACMSIGMOD, 1990.
[7]R. F. Cromp and W. J. Campbell.,”Data mining ofmulti-dimensional remotely sensed images”,International Conference on Information andKnowledge Management (CIKM), 1993.
[8] C. Ordonez and E. Omiecinski.,”Discoveringassociation rules based on image content”,Proceedings of the IEEE Advances in DigitalLibraries Conference (ADL`99), 1999.Libraries Conference (ADL`99), 1999.
[9]“Color Pattern Matching “,NI Vision 2009 Concepts June 2009.
Keywords : Image Mining, Color object recognition, Image retrieval, Color pattern matching.