Comparative Evaluation of Transform and Cluster based CBIR
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10.5120/17381-7917 |
Seema Anand Chaurasia, Omprakash Yadav and Vaishali Suryawanshi. Article: Comparative Evaluation of Transform and Cluster based CBIR. International Journal of Computer Applications 99(6):42-51, August 2014. Full text available. BibTeX
@article{key:article,
author = {Seema Anand Chaurasia and Omprakash Yadav and Vaishali Suryawanshi},
title = {Article: Comparative Evaluation of Transform and Cluster based CBIR},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {99},
number = {6},
pages = {42-51},
month = {August},
note = {Full text available}
}
Abstract
In this paper, comparative evaluation is made on the result of CBIR system based on transform based Image retrieval and cluster based Image retrieval by taking Euclidean distance as similarity measure to calculate the deviation from query image. In transform based image retrieval discrete wavelet transform is used to decompose the image. The image is decomposed till sixth level and last level approximate component is saved as feature vector. For cluster based Image retrieval LBG algorithm is used. Comparisons are made between results of transform based Image retrieval and cluster based Image Retrieval. In this paper two experiments are carried out on COIL database images, first on 720 images having 10 different classes and second on 1440 images of 20 different classes.
References
- Lidia Xavier, Thusnavis Bella Mary. I and Newton David Raj. W, "Content Based Image Retrieval Using Textural Features based on Pyramid structure wavelet transform", 2011 IEEE.
- Priyanka P. Buch, Madhuri V. Vaghasia and Sahista M. Machchhar, " Comparative analysis of content based image retrieval using both color and texture", International conference on Current Trends in Technology,2, NUiCONE, 2011 IEEE.
- Prabhjot Kaur and Dr. Satish Devane , "Effective method of Cbir for Time and Accuracy ", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3 Issue 11 November 2013.
- Vaishali S, Dr. Sachin R. Gengaje , "Literature Review of Wavelet Based Digital Image Watermarking Techniques", International Journal of Computer Applications (0975 – 8887) Volume 31– No. 1, October 2011.
- Swapnalini Pattanaik and prof. D. G. Bhalke, "Beginners to Content Based Image Retrieval", International Journal of Scientific Research Engineering & Technology, Volume 1 Issue2 pp 040-044 May 2012.
- Arnold W. M. Smeulders, Marcel Worring, Simone Santini, "Content-based image retrieval at the end of the early years". IEEE Transactions on Pattern analysis and machine intelligence, vol 22, No 12, December 2000.
- N S T Sai , R C Patil, "Image Retrieval using 2D Dual-Tree Discrete Wavelet Transform",. International Journal of Computer Applications (0975 – 8887), Volume 14 – No. 6,February2011.
- Dr. H. B. Kekre, Dr. Tanuja K. Sarode, Sudeep D. Thepade, Vaishali Suryavanshi, "Image retrieval using Texture features extracted from GLCM, LBG and KPE". International Journal of computer Theory and Engineering, Vol. 2, No. 5, October 2010.
- Harikrishna Narasimhan, Purushothaman Ramraj,"Contribution-Based Clustering Algorithm for Content-Based Image Retrieval", Ijarcsse, Vol 2, 2011.
- A. Kannan,Dr. V. Mohan,Dr. N. Anbazhagan" Image Clustering and Retrieval using Image Mining Techniques"International Conference on Computational Intelligence and Computing Research 2010 IEEE.