Generalization of angular radial transform

Content based shape image retrieval is an important problem which gained the attention of the community. The challenge is to map the shape into compact and robust descriptor. This study presents a generalization of the angular radial transform (ART). The ART, recommended by the MPEG-7 standard, is o...

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Bibliographic Details
Main Authors: Ricard, J., Coeurjolly, D., Baskurt, A.
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Content based retrieval
Exact sciences and technology
Image databases
Image retrieval
Image segmentation
MPEG 7 Standard
Noise robustness
Noise shaping
Pattern recognition. Digital image processing. Computational geometry
Peak to average power ratio
Shape
Subspace constraints
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Summary:Content based shape image retrieval is an important problem which gained the attention of the community. The challenge is to map the shape into compact and robust descriptor. This study presents a generalization of the angular radial transform (ART). The ART, recommended by the MPEG-7 standard, is only limited to binary images and is not robust to perspective deformations. We propose two generalizations of the ART allowing to apply it to color images and to make it robust to all possible rotations and to perspective deformations.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2004.1421536