The week's pick
Reseach Article
Content based Image Retrieval and Classification using Support Vector Machine
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 92 - Number 7 |
| Year of Publication: 2014 |
| Authors: Spurti Shinde, Ashwini Lendal, Nikita Bajaj, Yogita Shelar |
10.5120/16019-4979
|
Spurti Shinde, Ashwini Lendal, Nikita Bajaj, Yogita Shelar . Content based Image Retrieval and Classification using Support Vector Machine. International Journal of Computer Applications. 92, 7 ( April 2014), 8-12. DOI=10.5120/16019-4979
Abstract
Content Based Image Retrieval (CBIR) is a traditional and developing trend in Digital Image Processing. Therefore the use of CBIR to search and retrieve the query image from wide range of database is increasing. In this paper we are going to explore an efficient image retrieval technique which uses local color, shape and texture features. So, efficient image retrieval algorithms based on RGB histograms, Geometric moment and Co-occurrence Model is proposed for color, shape and texture respectively. Results based on this approach are found encouraging in terms of color, shape and texture image classification accuracy. After the features are selected, an SVM classifier is trained to distinguish between relevant and irrelevant images accordingly.
References
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- J. Weston and C. Watkins, "Multi-class support vector machines," Technical Report CSD-TR-98-04, Royal Holloway, University of London, 1998.
- Ms. K. Arthi 1, Mr. J. Vijayaraghavan, "Content Based Image Retrieval Algorithm Using Color Models," International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013
- Aman Chadha, Sushmit Mallik, Ravdeep Johar, "Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval," International Journal of Computer Applications (0975 – 8887) Volume 52– No. 20, August 2012
- Saurabh Agrawal, Nishchal K Verma, Prateek Tamrakar, Pradip Sircar, "Content Based Color Image Classification using SVM" 2011 Eighth International Conference on Information Technology: New Generations.
- Philippe H. Gosselin Matthieu Cord, "A Comparison of Active Classification Methods for ContentBased Image Retrieval".
- Ajay Kumar Bansal, Swati Mathur, "Feature Extraction in Content Based Image Retrieval: A Review," International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 International Conference on Advancement in Information Technology (ICAIT- 23 February 2013)
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