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» Improved Snake Model for Fast Image Segmentation
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95
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MICCAI
2009
Springer
16 years 1 months ago
Depth Data Improves Skin Lesion Segmentation
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A regionbased active contour segmentation ...
Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B....
93
Voted
ICIP
1999
IEEE
16 years 1 months ago
A Fast Segmentation Algorithm for Bi-Level Image Compression Using JBIG2
The emerging JBIG2 standard allows compliant encoders to achieve very high compression rates on bi-level images, especially when images are properly segmented into regions of line...
Dave A. D. Tompkins, Faouzi Kossentini
127
Voted
ISBI
2011
IEEE
14 years 4 months ago
An automatic feature based model for cell segmentation from confocal microscopy volumes
We present a model for the automated segmentation of cells from confocal microscopy volumes of biological samples. The segmentation task for these images is exceptionally challeng...
Diana Delibaltov, Pratim Ghosh, Michael Veeman, Wi...
ICPR
2006
IEEE
16 years 1 months ago
An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation
This paper presents a novel algorithm for unsupervised texture segmentation. The proposed algorithm incorporates the Local Binary Pattern operator under a segmentation framework b...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Mic...
NA
2008
297views more  NA 2008»
15 years 10 days ago
Generalized fast marching method: applications to image segmentation
In this paper, we propose a segmentation method based on the Generalized Fast Marching Method (GFMM) developed by Carlini et al.([6]). The classical Fast Marching Method (FMM) is a...
Nicolas Forcadel, Carole Le Guyader, Christian Gou...