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» Adaptive Feature Selection in Image Segmentation
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FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
14 years 1 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
DAS
2010
Springer
13 years 6 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
ICPR
2004
IEEE
14 years 8 months ago
Serialized Unsupervised Classifier for Adaptative Color Image Segmentation: Application to Digitized Ancient Manuscripts
This paper presents an adaptative algorithm for the segmentation of color images suited for document image analysis. The algorithm is based on a serialization of the k-means algor...
Frank Le Bourgeois, Hubert Emptoz, Yann Leydier
ICASSP
2011
IEEE
12 years 11 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
ACIVS
2006
Springer
14 years 1 months ago
Adaptive Vision Leveraging Digital Retinas: Extracting Meaningful Segments
In general, the less probable an event, the more attention we pay to it. Likewise, considering visual perception, it is interesting to regard important image features as those that...
Nicolas Burrus, Thierry M. Bernard