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Image Segmentation

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.

Variational Image Segmentation using Color and Texture

This image segmentation method uses image diffusion based on an edge vector field based on color and/or texture. more...

» Demo

Curve Evolution based Image Segmentation

This image segmentation utilizes an edge vector field (EVF) within the curve evolution framework by using both color and texture features. more...

Variational Image Segmentation using Boundary Functionals

This image segmentation method introduces a general variation framework. more...

JSEG: Segmentation of color-texture regions in images and video

The JSEG segmentation aims to achieve consistent segmentation and tracking results for scenes with arbitrary non-rigid object motion. more...

Edgeflow Segmentation

Edge Flow is an image segmentation scheme appropriate for large images and database retrieval. more...


Related Projects

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.