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Image Retrieval Using Ann

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Image Retrieval Using Ann
Image Retrieval Based on Color and Texture Feature Using Artificial Neural Network
Syed Sajjad Hussain#1, Manzoor Hashmani#2, Muhammad Moin uddin#3
#

Faculty of Engineering, Sciences and Technology, IQRA University, Karachi
1

engr.sajjadrizvi@yahoo.com, 2mhashmani@yahoo.com, 3mmoin73@yahoo.com Abstract. Content-based image retrieval CBIR is a technique that helps in searching a user desired information from a huge set of image files and interpret user intentions for the desired information. The retrieval of information is based on features of image like colour, shape, texture, annotation etc. Many of the existing methods focus on the feature extraction and to bridge up the gap between low level features and high level semantics. In this paper we propose a supervised machine learning (SML) using artificial neural network (ANN) and singular value decomposition (SVD) for image retrieval. Specifically we use back propagation algorithm (multilayer perceptron) (MLP) for training and testing our proposed model. Experimental results show that by changing parameters of feature vector back propagation method can have 62% precision instead of 49% as claimed by in Hyoung Ku LEE, Suk In Yoo [1]. Keywords Colour based image retrieval, back propagation algorithm, artificial neural network based image retrieval, multilayer perceptron (MLP).

1

Introduction

Previously the information was primarily text based. But with the rapid growth in the field of computer network and low cost permanent storage media, the shapes of information become more interactive. The people are accessing more multimedia files than the past. In past, images, videos and audio files were only used for the entertainment purpose but nowadays these are the major source of information. Because of intense dependency on multimedia files for information searching, to obtain a desired result is a major problem as the search engine searches within the text associated with the multimedia files, instead



References: 1. 2. 3. 4. Hyoung Ku LEE, Suk In Yoo “ Intelligent image retrieval using neural network” IEICE TRANS. INF. & SYST. VOL. E84-D,NO. 12 DECEMBER 2001. Nidhi Singhai, Prof. Shishir K. Shandilya”A Survey On: Content Based Image Retrieval Systems” International Journal of Computer Applications July 2010. Yixin Chen James Z. Wang “Looking Beyond Region Boundaries” 2001. Multimedia Content-Based Indexing and Retrieval Workshop, INRIA S. Nandagopalan, Dr. B. S. Adiga, and N. Deepak “A Universal Model for Content-Based Image Retrieval” World Academy of Science, Engineering and Technology 46 2008. Greg Pass, Ramin Zabih, “Histogram refinement for content based image retrieval” WACV '96. Chad Carson, Serge Belongie, Hay it Greenspan, and Jitendra Malik, “Region Based Image Querying,” this work is supported by an NSF digital library grant (IRI 94-11334) 1997 IEEE. Stefano Berretti, Alberto Del Bimbo, and Pietro Pala, “Retrieval by Shape Similarity with Perceptual Distance and Effective Indexing” in Multimedia, IEEE Transactions. Constantin Vertan, Nozha Boujemaa “Embedding Fuzzy Logic in Content Based Image Retrieval” Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American IssueDate: 2000 On page(s): 85 - 89 Yixin Chen James Z. Wang “Looking Beyond Region Boundaries” 2001. Multimedia Content-Based Indexing and Retrieval Workshop, INRIA. Ju Han and Kai-Kuang Ma, IEEE “Fuzzy Color Histogram and Its Use in Color Image Retrieval”2002. Minakshi Banerjee 1, Malay K. Kundu “Edge based features for content based image retrieval” journal of pattern recognition society Pattern Recognition 36 (2003) 2649 – 2661. Yuhang Wang, Fillia Makedon, James Ford, Li Shen Dina Goldin “Generating Fuzzy Semantic Metadata Describing Spatial Relations from Images using the R-Histogram” JCDL’04, June 7–11, 2004, Raghu Krishnapuram, Swarup Medasani, Sung-Hwan Jung, , Young-Sik Choi, and Rajesh Balasubramaniam “Content-Based Image Retrieval Based on a Fuzzy Approach” IEEE transactions on knowledge and data engineering, vol. 16, no. 10, october 2004 S. Kulkarni, B. Verma1, P. Sharma and H. Selvaraj“Content Based Image Retrieval using a Neuro-Fuzzy Technique” 2005. Chih-Chin Lai and Ying-Chuan Chen “Color Image Retrieval Based on Interactive Genetic Algorithm” Soo Beom Park, Jae Won Lee, Sang Kyoon Kim “Content-based image classification using a neural network” elsevier. Pattern Recognition Letters 25 (2004) Simon Haykin, “Neural Networks: A Comprehensive Foundation,” Prentice Hall, second edition, July 16, 1998. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17.

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