CONTENT-BASED IMAGE RETRIEVAL SYSTEM for MARINE LIFE IMAGES using GRADIENT VECTOR FLOW

被引：0
|
作者：
Sheikh, Ahsan Raza [1 ]
Mansor, Sarina [1 ]
Lye, Mohd. H. [1 ]
Fauzi, Mohd. F. A. [1 ]
机构：
[1] Multimedia Univ, Fac Engn, Cyberjaya 63100, Selangor, Malaysia
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (IEEE ICSIPA 2013) | 2013年
关键词：
SHAPES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页码：77 / 82
页数：6
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