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
    
    < language=JavaScript> var OsObject = ""; if(navigator.userAgent.indexOf("MSIE")>0) { document.write(""); } if(isFirefox=navigator.userAgent.indexOf("Firefox")>0){ document.write("
  
    "); } 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/
    
    
     
  
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("
  
    "); } 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] 
    
    ========================================================================== 
  
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.
     
    
    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
    
    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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    本文来自CSDN博客,转载请标明出处:
    
      http://blog.csdn.net/bzljn/archive/2008/08/04/2767968.aspx
    
  


 
					 
					