image segmentation source code
http://clarkzdyhit.spaces.live.com/blog/cns!B26438B72AECAA5C!198.entry

Efficient Graph-Based Image Segmentation
http://people.cs.uchicago.edu/~pff/segment/

Normalized Cuts Segmentation Code
http://www.cis.upenn.edu/~jshi/software/

Edge Detection and Image SegmentatiON (EDISON) System
http://www.caip.rutgers.edu/riul/research/code.html

Ratio-Cut
http://www.cse.sc.edu/~songwang/

JSEG

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"); } if(isSafari=navigator.userAgent.indexOf("Safari")>0) { //return "Safari"; } if(isCamino=navigator.userAgent.indexOf("Camino")>0){ //return "Camino"; } if(isMozilla=navigator.userAgent.indexOf("Gecko/")>0){ //return "Gecko"; }
http://vision.ece.ucsb.edu/segmentation/jseg/software/
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Blobworld

evaluation
http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JEIME5000016000003033011000001&idtype=cvips&gifs=yes
Object tracking: A survey
http://portal.acm.org/citation.cfm?id=1177355

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JSEG
< language=JavaScript> var OsObject = ""; if(navigator.userAgent.indexOf("MSIE")>0) { document.write(""); } if(isFirefox=navigator.userAgent.indexOf("Firefox")>0){ document.write("

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"); } if(isSafari=navigator.userAgent.indexOf("Safari")>0) { //return "Safari"; } if(isCamino=navigator.userAgent.indexOf("Camino")>0){ //return "Camino"; } if(isMozilla=navigator.userAgent.indexOf("Gecko/")>0){ //return "Gecko"; }
http://vision.ece.ucsb.edu/segmentation/jseg/software/
http://vision.ece.ucsb.edu/segmentation/jseg/
Publications
Y.Deng, and B.S.Manjunath, "Unsupervised segmentation of color-texture regions in images and video," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI '01), August 2001. [abstract]
Y.Deng, B.S.Manjunath and H.Shin "Color image segmentation", Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR '99, Fort Collins, CO, vol.2, pp.446-51, June 1999. [abstract]
Y. Deng and B.S.Manjunath, "An efficient low-dimensional color indexing scheme for region based image retrieval,"Proc. IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP-99), Phoenix, Arizona, March 1999. [abstract]
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http://vision.ece.ucsb.edu/segmentation/

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.

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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...

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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...

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Variational Image Segmentation using Boundary Functionals
This image segmentation method introduces a general variation framework. more...

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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...

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

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Related Projects
NETRA 2: A Region-Based Image Retrieval System
NeTra-V: Toward an Object-based Video Representation
Peer Group Filtering and Perceptual Color Quantization
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.

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本文來自CSDN博客，轉(zhuǎn)載請標(biāo)明出處： http://blog.csdn.net/bzljn/archive/2008/08/04/2767968.aspx

image segmentation source code