Use of a JPEG-2000 wavelet compression scheme for content-based ophtalmologic retinal images retrieval.

被引：6

作者：

Lamard, Mathieu ^{[1
]}

Daccache, Wissam ^{[1
]}

Cazuguel, Guy ^{[1
]}

Roux, Christian ^{[1
]}

Cochener, Beatrice ^{[1
]}

机构：

[1] CHU Morvan, INSERM, U650, Lab Traitement Informat Med, F-29609 Brest, France

来源：

2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年

关键词：

D O I：

10.1109/IEMBS.2005.1615341

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we propose a content based image retrieval method for diagnosis aid in diabetic retinopathy. We characterize images without extracting significant features, and use histograms obtained from the compressed images in JPEG-2000 wavelet scheme to build signatures. The research is carried out by calculating signature distances between the query and database images. A weighted distance between histograms is used. Retrieval efficiency is given for different standard types of JPEG-2000 wavelets, and for different values of histogram weights. A classified diabetic retinopathy image database is built allowing algorithms tests. On this image database, results are promising: the retrieval efficiency is higher than 70% for some lesion types.

引用

页码：4010 / 4013

页数：4

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