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» Image Classification with Segmentation Graph Kernels
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ICPR
2010
IEEE
13 years 2 months ago
Low-Level Image Segmentation Based Scene Classification
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation...
Emre Akbas, Narendra Ahuja
CVPR
2009
IEEE
13 years 8 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
CVPR
2007
IEEE
14 years 6 months ago
A Graph Cut Approach to Image Segmentation in Tensor Space
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
ICIP
2009
IEEE
13 years 2 months ago
Windows and facades retrieval using similarity on graph of contours
The development of street-level geoviewers become recently a very active and challenging research topic. In this context, the detection, representation and classification of windo...
Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, F...
MVA
2002
254views Computer Vision» more  MVA 2002»
13 years 4 months ago
Retinal Blood Vessel Extraction by Using Multi-resolution Matched Filtering and Directional Region Growing Segmentation
Anew method to extract retinal blood vessels from a colour fundus image is described. Digital colour h d u s images are contrast enhanced in order to obtain sharp edges. The green...
Mitsutoshi Himaga, David Usher, James F. Boyce