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» Level Set Methods for Watershed Image Segmentation
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MICCAI
1998
Springer
14 years 1 months ago
Segmentation and Measurement of the Cortex from 3D MR Images
The cortex is the outermost thin layer of gray matter in the brain; geometric measurement of the cortex helps in understanding brain anatomy and function. In the quantitative analy...
Xiaolan Zeng, Lawrence H. Staib, Robert T. Schultz...
ICIP
2003
IEEE
14 years 10 months ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...
CVPR
2007
IEEE
14 years 10 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
Frédo Durand, Sylvain Paris
ACSW
2004
13 years 10 months ago
A wavelet-based neuro-fuzzy system for data mining small image sets
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Brendon J. Woodford, Da Deng, George L. Benwell
CEC
2009
IEEE
14 years 3 months ago
Evolutionary image segmentation based on multiobjective clustering
— In the fields of image processing and recognition, image segmentation is an important basic technique in which an image is partitioned into multiple regions (sets of pixels). ...
Shinichi Shirakawa, Tomoharu Nagao