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» Enhancements for Local Feature Based Image Classification
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TIP
2010
205views more  TIP 2010»
13 years 2 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...
ICIP
2003
IEEE
14 years 9 months ago
Histogram intersection kernel for image classification
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
Annalisa Barla, Francesca Odone, Alessandro Verri
PRL
2006
87views more  PRL 2006»
13 years 7 months ago
Supervised feature-based classification of multi-channel SAR images
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...
Dirk Borghys, Yann Yvinec, Christiaan Perneel, Ale...
CVPR
2006
IEEE
14 years 9 months ago
Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation
This paper presents a shape representation and a variational framework for the construction of diffeomorphisms that establish "meaningful" correspondences between images...
Byung-Woo Hong, Emmanuel Prados, Stefano Soatto, L...
INFFUS
2007
117views more  INFFUS 2007»
13 years 7 months ago
Pixel-based and region-based image fusion schemes using ICA bases
The task of enhancing the perception of a scene by combining information captured by different sensors is usually known as image fusion. The pyramid decomposition and the Dual-Tr...
Nikolaos Mitianoudis, Tania Stathaki