Content Based Image Processing Approach on Colored Images using KNN Classifier

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-36 Number-4
Year of Publication : 2016
Authors : Garvita, Priyanka Kamboj


Garvita, Priyanka Kamboj "Content Based Image Processing Approach on Colored Images using KNN Classifier". International Journal of Computer Trends and Technology (IJCTT) V36(4):183-191 June 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Content Based Image Retrieval (CBIR) is also called as Query By Image Content (QBIC). It has been an active research field since last decades. In contrast with traditional systems, where images are retrieved on the basis of keywords but in CBIR system images are retrieved on the basis of visual content. Content Based Image Retrieval is a methodology that allows a user to extract an image based on a query from the database. Here, the term "content" refers to color, shape, texture, or any other data that can be derived from image itself. Different types of classification we can use Neural network, Support Vector Machine (SVM), KNN, Bayesian etc. In this paper, we are using K Nearest Neighbor (KNN) classifier to find out the relevant images and after that we use Spearman’s Rank Correlation Function to reduce the time complexity and improve F-measure.

[1] Garvita and Priyanka Kamboj, Content Based Image Retrieval System: Review, International Journal of Computer Trends and Technology (IJCTT) – Volume 34 Number 3 - April 2016
[2] Priyadarshini Patil and Bhagya Sunag, Analysis of Image Retrieval Techniques Based On Content, IEEE International Advance Computing Conference (IACC)
[3] Manoharan Subramanian and Sathappan Sathappan, An Efficient Content Based Image Retrieval using Advanced Filter Approaches, The International Arab Journal of Information Technology, Vol. 12, No. 3, May 2015
[4] R.Malini and C.Vasanthanayaki, An Enhanced Content Based Image Retrieval System using Color Features, International Journal Of Engineering And Computer Science ISSN: 2319-7242 Volume 2 Issue 12 Dec, 2013 Page No. 3465-3471
[5] Y H Sharath Kumara, D S Gurub, Retrieval of Flower Based on Sketches, International Conference on Information and Communication Technologies (ICICT 2014)
[6] Anuja khodaskar, Siddarth Ladhake, Promising Large Scale Image Retrieval by using Intelligent Semantic Binary Code Generation Technique, International Conference on Intelligent Computing Communication & Covergence (ICCC-2014) Conference Organized by Interscience Institute of Management and Technology, Bhubaneswar, Odisha, India
[7] Roshi Choudhary, Nikita Raina, Neeshu Chaudhary, Rashmi Chauhan, Dr. R H Goudar, An Integrated Approach to Content Based Image Retrieval, International Conference on Advances in Computing, Communications and informatics (lCACC1) 2014
[8] Kommineni Jenni, Satria Mandala, Mohd Shahrizal Sunar, Content Based Image Retrieval Using Colour Strings Comparison, 2nd International Symposium on Big Data and Cloud Computing (ISBCC’15)
[9] Krishnan Nallaperumal, M.Sheerin Banu and C.Callins Christiyana, Content Based Image Indexing and Retrieval using Color Descriptor in Wavelet Domain, International Conference on Computational Intelligence and Multimedia Applications 2007
[10] B.Jyothi, Y.Madhavee Latha and V.S.K.Reddy, Relvance Feed Back Content Based Image Retrieval Using Multiple Features, IEEE 2010
[11] H B Kekre, V A Bharadi and S D Thepade, Content Based Image Retreival using Fusion of Gabor Magnitude and Modified Block Truncation Coding, Third International Conference on Emerging Trends in Engineering and Technology
[12] Sushant Shrikant Hiwale, Dhanraj Dhotre , Dr. G.R.Bamnote, Quick Interactive Image Search in Huge Databases Using Content- Based Image Retrieval, IEEE Sponsored 2nd International Coriference on Innovations in Iriformation Embedded and Communication Systems ICIIECS'15
[13] A. A. Khodaskar and S. A. Ladhake, A Novel Approach for Content Based Image Retrieval in Context of Combination S C Techniques, International Conference on Computer Communication and Informatics (ICCCI -2015), Jan. 08 – 10, 2015, Coimbatore, INDIA
[14] Devyani Soni , K. J. Mathai, An Efficient Content Based Image Retrieval System based on Color Space Approach Using Color Histogram and Color Correlogram, Fifth International Conference on Communication Systems and Network Technologies 2015
[15] Aly S. Abdelrahim, Mostafa A. Abdelrahman, Ali Mahmoud and Aly A. Farag, Image Retrieval Based on Content and Image Compression, IEEE 2011

KNN, F-measure, Recall, Precision, Spearman’s Rank Correlation Function, Test Dataset, Train Dataset, color strings.