Content-based image retrieval system for marine life images using gradient vector flow

Mansor, Sarina and Sheikh, Ahsan Raza and Lye Abdullah, Mohd Haris and Ahmad Fauzi, Mohammad Faizal (2013) Content-based image retrieval system for marine life images using gradient vector flow. In: 2013 IEEE International Conference,Signal and Image Processing Applications (ICSIPA). IEEE Xplore, pp. 77-82. ISBN 978-1-4799-0267-5

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Abstract

Content Based Image Retrieval (CBIR) has been an active and fast growing research area in both image processing and data mining. Malaysia has been recognized with a rich marine ecosystem. Challenges of these images are low resolution, translation, and transformation invariant. In this paper, we have designed an automated CBIR system to characterize the species for future research. Gradient vector flow (GVF) has been implemented in a lot of image processing applications. Inspired by its fast image restoration algorithms we applied GVF for marine images. We evaluated different automated segmentation techniques and found GVF showing better retrieval results compared to other automated segmentation techniques.

Item Type: Book Section
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 04 Mar 2014 02:30
Last Modified: 09 Jul 2014 06:05
URI: http://shdl.mmu.edu.my/id/eprint/5360

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