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ICIP
2008
IEEE
16 years 8 months ago
A perceptually adaptive approach to image denoising using anisotropic non-local means
This paper introduces a novel perceptually adaptive approach to image denoising using anisotropic non-local means. In the classical non-local means image denoising approach, the v...
Alexander Wong, Paul W. Fieguth, David A. Clausi
DICTA
2003
15 years 8 months ago
A New Shape Matching Measure for Nonlinear Distorted Object Recognition
In this paper, we present a new approach for hand-written character and digit recognitions based on shape descriptor and the Hausdorff Context. We start at finding the correspondi...
Sanun Srisuk, Marut Tamsri, Rerkchai Fooprateepsir...
CIVR
2007
Springer
280views Image Analysis» more  CIVR 2007»
16 years 21 days ago
Demonstration of image retrieval based on illumination invariant textural MRF features
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
Pavel Vacha, Michal Haindl
CISST
2004
164views Hardware» more  CISST 2004»
15 years 8 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
CVPR
2010
IEEE
15 years 11 months ago
Learning Weights for Codebook in Image Classification
This paper presents a codebook learning approach for image classification and retrieval. It corresponds to learning a weighted similarity metric to satisfy that the weighted simil...
Hongping Cai, Krystian Mikolajczyk, Fei Yan