Use of a JPEG-2000 Wavelet Compression Scheme for Content-Based Ophtalmologic Retinal Images Retrieval.
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.
Lamard
Mathieu
M
Laboratoire de Traitement de l'Information, Médicale Inserm U650, CHU Morvan Bat 2 Bis, 5 avenue Foch 29609, Brest Cedex France. Mathieu.Lamard@univ-brest.fr.
Daccache
Wissam
W
Cazuguel
Guy
G
Roux
Christian
C
Cochener
Beatrice
B