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ICPR
2004
IEEE
16 years 3 months ago
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems
A major problem in the field of content-based image retrieval is the lack of a common performance measure which allows the researcher to compare different image retrieval systems ...
Daniel Keysers, Hermann Ney, Thomas Deselaers
ICIP
2005
IEEE
16 years 3 months ago
Block-based ordinal co-occurrence matrices for texture similarity evaluation
In this paper we introduce a block-based approach for ordinal co-occurrence matrices aimed at improving robustness of the basic ordinal co-occurrence. Earlier, we have introduced t...
Mari Partio, Bogdan Cramariuc, Moncef Gabbouj

Publication
352views
14 years 7 months ago
A Contourlet Transform Feature Extraction Scheme for Ultrasound Thyroid Texture Classification
Ultrasonography is an invaluable and widely used medical imaging tool. Nevertheless, automatic texture analysis on ultrasound images remains a challenging issue. This work presen...
Stamos Katsigiannis, Eystratios G. Keramidas, Dimi...
ICIP
2002
IEEE
16 years 3 months ago
Learning similarity space
In this study, we suggest a method to adapt an image retrieval system into a configurable one. Basically, original feature space of a content-based retrieval system is nonlinearly...
Abdurrahman Çarkacioglu, Fatos T. Yarman-Vu...
VISUAL
1999
Springer
15 years 6 months ago
Blobworld: A System for Region-Based Image Indexing and Retrieval
Blobworld is a system for image retrieval based on nding coherent image regions which roughly correspond to objects. Each image is automatically segmented into regions  blobs"...
Chad Carson, Megan Thomas, Serge Belongie, Joseph ...