Watershed-driven region-based image retrieval

被引：0

作者：

Pratikakis, I ^{[1
]}

Vanhamel, I ^{[1
]}

Sahli, H ^{[1
]}

Gatos, B ^{[1
]}

Perantonis, S ^{[1
]}

机构：

[1] Natl Ctr Sci Res Demokritos, Inst Informat & Telecommun, GR-15310 Athens, Greece

来源：

MATHEMATICAL MORPHOLOGY: 40 YEARS ON | 2005年 / 30卷

关键词：

content-based image retrieval; image segmentation; Earth Mover's distance; region weighting;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper presents a strategy for content-based image retrieval. It is based on a meaningful segmentation procedure that can provide proper distributions for matching via the Earth mover's distance as a similarity metric. The segmentation procedure is based on a hierarchical watershed-driven algorithm that extracts automatically meaningful regions. In this framework, the proposed robust feature extraction plays a major role along with a novel region weighting for enhancing feature discrimination. Experimental results demonstrate the performance of the proposed strategy.

引用

页码：207 / 216

页数：10

共 17 条

[1] Blobworld: Image segmentation using expectation-maximization and its application to image querying [J].

Carson, C ;

Belongie, S ;

Greenspan, H ;

Malik, J .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (08) :1026-1038

[2] Unsupervised segmentation of color-texture regions in images and video [J].

Deng, YN ;

Manjunath, BS .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (08) :800-810

[3] Hierarchical color image region segmentation for content-based image retrieval system [J].

Fuh, CS ;

Cho, SW ;

Essig, K .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (01) :156-162

[4] Image segmentation and similarity of color-texture objects [J].

Gevers, T .

IEEE TRANSACTIONS ON MULTIMEDIA, 2002, 4 (04) :509-516

[5] Context-dependent segmentation and matching in image databases [J].

Greenspan, H ;

Dvir, G ;

Rubner, Y .

COMPUTER VISION AND IMAGE UNDERSTANDING, 2004, 93 (01) :86-109

[6] Spatial template extraction for image retrieval by region matching [J].

Hsieh, JW ;

Grimson, WEL .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (11) :1404-1415

[7] An efficient and effective region-based image retrieval framework [J].

Jing, F ;

Li, MJ ;

Zhang, HJ ;

Zhang, B .

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2004, 13 (05) :699-709

[8] An efficient k-means clustering algorithm:: Analysis and implementation [J].

Kanungo, T ;

Mount, DM ;

Netanyahu, NS ;

Piatko, CD ;

Silverman, R ;

Wu, AY .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2002, 24 (07) :881-892

[9]

Ma WY, 1997, INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL I, P568, DOI 10.1109/ICIP.1997.647976

[10] Geodesic saliency of watershed contours and hierarchical segmentation [J].

Najman, L ;

Schmitt, M .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1996, 18 (12) :1163-1173

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