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Our group has developed different robust methods for image/video segmentation. They require very little or no parameter tuning, and have been tested on thousands on images with acceptable quality segmentation results.
This image segmentation method uses image diffusion based on an edge vector field based on color and/or texture. more...
» Demo
This image segmentation utilizes an edge vector field (EVF) within the curve evolution framework by using both color and texture features. more...
This image segmentation method introduces a general variation framework. more...
The JSEG segmentation aims to achieve consistent segmentation and tracking results for scenes with arbitrary non-rigid object motion. more...
Edge Flow is an image segmentation scheme appropriate for large images and database retrieval. more...
Peer group filtering (PGF) is a nonlinear algorithm for image smoothing and impulse noise removal in color images. PGF can be used for a very coarse quantization and image segmentation.
© 2004 Vision Research Lab, UCSB
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