Visual Perception Oriented CBIR envisaged through Fractals and Presence Score

Suhas Rautmare, Anjali Bhalchandra

A. Tata Consultancy Services, Mumbai B. Govt. College of Engineering, Aurangabad

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http://www.icgst.com/paper.aspx?pid=P1151442348

The objective of this research is to validate the feasibility of successful content based image search using fractals. Fractal based approach has been embedded into one of the theories of visual perception of an image. An important function of selective visual attention is to direct our gaze rapidly towards objects of interest in our visual environment. Two distinct pathways in human visual perception for scene recognition are what pathway and where pathway. They work simultaneously to perceive scene as a whole. The proposed approach simulates human visual perception mechanism similar to that of the brain. The Hausdorff Fractals have been used in what pathway and Presence Score has been used in where pathway to generate a composite feature vector. The feature vector captures color, shape, texture information and significant region of interest of the image through fractals and presence score. In order to improve retrieval performance in the sense of accuracy and time, similar images are clustered together through maxdistnace and maxclustersize based clustering approach. The results obtained with an optimum sized feature vector are good enough to validate the approach and the conceptualized analogy between human and computer based image processing. The search has also been successfully extended using text annotation to web search through Google to provide wider coverage of CBIR.

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http://www.icgst.com/paper.aspx?pid=P1151442348Visual Perception Oriented CBIR envisaged through Fractals and Presence Score

Abstract

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Dr. Anjali Bhalchandra has received B.E. (Electronics & Telecommunica-tion), M.E. (Electronics), Ph.D. (Electronics)from SGGS college of engineering, Nanded, Maharashtra, India. She is in the field of Engineering Education for last 29 years. Currently she is working as Head of E & T/C Dept. at GEC, Aurangabad (An Autonomous Institute of Govt. of India). Her research interests are in the area of image and signal processing with special focus on segmentation, CBIR techniques and Blind signal processing. She has more than 50 publications to her credit published at various international Journals, conferences and seminars. She has delivered several lectures on Image processing in Universities of India

Government Engineering College Osmanpurahttp://www.geca.ac.in/

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Suhas S. Rautmare has received B.E.(Elect and Telecomm) degree from Marathwada University and M. Tech. (EDT) from CEDT. He is currently working with Tata Consultancy Services, Mumbai. He is research scholar at Govt. College of Engineering, Aurangabad. His areas of interest and research are image processing, information security and automation.

Government Engineering College Osmanpurahttp://www.geca.ac.in/

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