Content based image retrieval based on wavelet transform coefficients distribution.
In this paper we propose a content based image retrieval method for diagnosis aid in medical fields. We characterize images without extracting significant features by using distribution of coefficients obtained by building signatures from the distribution of wavelet transform. The research is carried out by computing signature distances between the query and database images. Several signatures are proposed; they use a model of wavelet coefficient distribution. To enhance results, a weighted distance between signatures is used and an adapted wavelet base is proposed. Retrieval efficiency is given for different databases including a diabetic retinopathy, a mammography and a face database. Results are promising: the retrieval efficiency is higher than 95% for some cases using an optimization process.
Lamard
Mathieu
M
Univ Bretagne Occidentale, U650, Brest, F-29200 France. Mathieu.Lamard@univ-brest.fr
Cazuguel
Guy
G
Quellec
Gwénolé
G
Bekri
Lynda
L
Roux
Christian
C
Cochener
Béatrice
B
D016208:Databases, Factual; D003930:Diabetic Retinopathy / Q000175:diagnosis; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008327:Mammography / Q000379:methods