The week's pick
Reseach Article
Neuro-Fuzzy based Image Retrieval System with Improved Shape and Texture Features
| International Conference on Internet of Things, Next Generation Networks and Cloud Computing |
| Foundation of Computer Science USA |
| ICINC2016 - Number 2 |
| July 2016 |
| Authors: D. B. Kshirsagar, U. V. Kulkarni |
| ffeaad6b-4b7b-49b0-ae22-fbca84c116df |
D. B. Kshirsagar, U. V. Kulkarni . Neuro-Fuzzy based Image Retrieval System with Improved Shape and Texture Features. International Conference on Internet of Things, Next Generation Networks and Cloud Computing. ICINC2016, 2 (July 2016), 18-24.
Abstract
A generalized Neuro-Fuzzy based Content Based Image Retrieval (CBIR) system is proposed. The system is trained for colour, texture and shape features using General Fuzzy Min-Max Neural Network (GFMNN). Flexibility and robustness is achieved by accepting any number and types of different input features as well with the concept of class labels assigned for each hyperbox. The existing architecture is simplified and the system is trained in pure clustering mode which helps in reducing the computational complexity. By controlling user parameters the system can categorize images as per the users need. With modified texture and shape features combined with colour features, the proposed CBIR system gives an efficient automated retrieval of similar images.
References
- A. Pentaland, R. Picard, and S. Sclaroff, "Photobook: Content Based Manipulation of Image Databases," Int'l Journal Computer Vision (IJCV), vol. 18, no. 3, pp. 233-254, June 1996.
- K. Porkaew, K. Chakraborty, and S. Meherotra, "Query Refinement over Multimedia Similarity Retrieval in MARS," Proc. ACM Int'l Multimedia Conf. (ACMMM), pp. 235-38, 1999.
- Thomas Deselaers, Daniel Keysers, and Hermann Ney, "Features for Image Retrieval: an Experimental Comparison," Information Retrieval, pp. 77–107, Springer Science + Business Media, LLC, 2007.
- Fuhui Long, Hongjiang Zhang and David Dagan Feng, "Fundamentals of Contents Based Image Retrieval," Multimedia Information Retrieval and Management, Springer Verlag Berlin Heidelberg, 2003.
- Peter Howarth and Stefan Ruger, "Evaluation of Texture Features for content-based Image Retrieval," CIVR, LNCS 3115, pp. 326–334, Springer Verlag Berlin Heidelberg, 2004.
- Xiangu Jin and James French, "Improving Image Retrieval Effectiveness via Multiple Queries," MMDB, USA, pp. 86-93, 2003.
- Sabri Konak, "A Content Based Image Retrieval System for Texture and Color Queries," Thesis, August 2002. [http://www. cs. bilkent. edu. tr/tech-reports/2002/BU-CE-0212. pdf]
- Dengsheng Zhang and Guojun Lu, "A Comparative Study on Shape Retrieval Using Fourier Descriptors with Different Shape Signatures," International Conference on IMDE, June 2001. [http://www. knight. temple. edu/~lakaemper/courses/cis595_2004/papers/fourierShape. pdf]
- T. N. Janakiraman and P. V. S. S. R. Chandra mouli, "A Robust Pre-processing Step For Efficient Edge Detection," International Conference on Advances in Computer Vision and Information Technology, BAMU, Aurangabad (MS) India, 28-30 November 2007.
- Nirwan Ansari and Edward J. Delp, "On Detecting Dominant Points," Pattern Recognition, Vol. 24 Issue: 5, pp. 441-51, 1990.
- Simpson, "Fuzzy Min-Max Neural Networks - Part 1: Classification," IEEE Trans. Neural Networks, vol. 3, pp. 776–786, Sept. 1992.
- Simpson, "Fuzzy Min-Max neural networks - Part 2: Clustering," IEEE Trans. Fuzzy Syst. , vol. 1, pp. 32- 45, Feb. 1993.
- Bogdan Gabrys and Andrzej Bargiela, "General Fuzzy Min-Max Neural Network for Clustering and Classification," IEEE Trans. Neural Networks, vol. 11, No. 3, May 2000.
- P. Howarth and S. Ruger, "Robust Texture Features for Still Image Retrieval," Recent advances in image and video retrieval, IEE Proceedings, 2005.
- Szabolcs Sergyán, "Color Content-based Image Classification," 5th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence and Informatics, January 2007.
- Srinivasan Selvan and Srinivasan Ramkrishnan, "SVD-Based Modelling for Image Texture Classification Using Wavelet Transformation," IEEE Trans. Image Processing, vol. 16, no. 11, pp. 2688-2696, Nov 2007.
- Ruofei Zhang, Zongfei Zhang, "Effective Image Retrieval Based on Hidden Concept Discovery In Image Database," IEEE Trans. Image Processing, vol. 16, No. 2, pp. 562-572, Feb 2007.
- K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal and Lalit Patnaik, "A Neural Network Based CBIR System using STI Features and Relevance Feedback," Intelligent Data Analysis, IOS Press, vol. 10, pp. 121-137, 2006.
- Application of Multiple Viewpoints to CBIR," Proceedings of Joint Conference on Digital Libraries, JCDL 03, IEEE Computer Society, 2003.
- Greg Pass, Ramin Zabih, and Justin Miller, "Comparing Images Using Colour Coherence Vectors," Proceedings of the fourth ACM international conference on Multimedia, pp. 65-73, 1996.
- H. Pour and E. Kabir, "Image Retrieval using Histograms of Uni-color and Bi-color Blocks", Pattern Recognition Letters, Elsevier, pp. 1547-1556, 2004.
Index Terms
Keywords