Bench Marking Higuchi Fractal for CBIR A. Suhas Rautmare, B. Anjali Bhalchandra A. Tata Consultancy Services, Mumbai B. Govt. College of Engineering, Aurangabad

1. Bench Marking Higuchi Fractal for CBIR
A. Suhas Rautmare, B. Anjali Bhalchandra
A. Tata Consultancy Services, Mumbai B. Govt. College of Engineering, Aurangabad
1www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1151404314

2. Content Based Image Retrieval (CBIR) has been approached through color, shape, texture and many
other approaches. CBIR can also be approached through fractals. Fractal dimension based approach and
fractal compression based approach are two variants in this domain. The proposed work implements a
fractal dimension based approach supported by morphological operations to enhance the results. The
images under consideration are resized to 128x128. Fractals are patterns that exhibit self similarity. The
paper discusses Higuchi Fractal dimension (HFD) based approach for CBIR. HFD provides direction
dependent and direction independent analysis of the image. To enhance the results, morphological
operations have been performed. The main purpose of adopting morphological operations is to extract
image components that are useful in the representation and description of the content of image.
Morphological operations like fill Holes, clear border object and dilation of the image have been used to
enhance the results. A feature vector of the size 256, 128 for columns and 128 for rows, has been used
to identify the relevant match of the images through Euclidean distance measure. The paper establishes
a bench mark for Higuchi fractal dimension to be used for CBIR. The performance of the proposed
system is good enough in comparison with other fractal based systems to be considered as a bench
mark for using Higuchi fractal in CBIR process. The results and analysis has been presented for the
proposed approach.
2www.icgst.com
http://www.icgst.com/paper.aspx?pid=P1151404314
Bench Marking Higuchi Fractal for CBIR
Abstract

3. 3www.icgst.com
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 Osmanpura
http://www.geca.ac.in/

4. 4www.icgst.com
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 Osmanpura
http://www.geca.ac.in/

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