Automatic texture segmentation for content-based image retrieval application
Automatic texture segmentation for content-based image retrieval application
 
  In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm. The proposed technique is tested on a range of textured images including composite texture images, synthetic texture images, real scene images as well as our main source of images, the museum images of various kinds. An extension to the automatic texture segmentation, a texture identifier is also introduced for integration into a retrieval system, providing an excellent approach to content-based image retrieval using texture features.
  Content-based image retrieval - Texture segmentation - Texture identifier - Discrete wavelet frames - Mean-shift clustering
  307-323
  
    
      Fauzi, M.F.A.
      
        d0b509f4-37c4-4b3c-90d2-9215cb932238
      
     
  
    
      Lewis, P.H.
      
        7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
      
     
  
  
   
  
  
    
      November 2006
    
    
  
  
    
      Fauzi, M.F.A.
      
        d0b509f4-37c4-4b3c-90d2-9215cb932238
      
     
  
    
      Lewis, P.H.
      
        7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Fauzi, M.F.A. and Lewis, P.H.
  
  
  
  
   
    (2006)
  
  
    
    Automatic texture segmentation for content-based image retrieval application.
  
  
  
  
    Pattern Analysis & Applications, 9 (4), .
  
   
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm. The proposed technique is tested on a range of textured images including composite texture images, synthetic texture images, real scene images as well as our main source of images, the museum images of various kinds. An extension to the automatic texture segmentation, a texture identifier is also introduced for integration into a retrieval system, providing an excellent approach to content-based image retrieval using texture features.
         
      
      
    
   
  
  
  More information
  
    
      Published date: November 2006
 
    
  
  
    
  
    
  
    
  
    
  
    
     
    
  
    
     
        Keywords:
        Content-based image retrieval - Texture segmentation - Texture identifier - Discrete wavelet frames - Mean-shift clustering
      
    
  
    
     
        Organisations:
        Web & Internet Science
      
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 263145
        URI: http://eprints.soton.ac.uk/id/eprint/263145
        
        
        
        
          PURE UUID: e3c9c4eb-1c66-471b-992d-3a9b130f0aaf
        
  
    
        
          
        
    
        
          
            
          
        
    
  
  Catalogue record
  Date deposited: 31 Oct 2006
  Last modified: 14 Mar 2024 07:25
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      Contributors
      
          
          Author:
          
            
            
              M.F.A. Fauzi
            
          
        
      
          
          Author:
          
            
              
              
                P.H. Lewis
              
              
            
            
          
        
      
      
      
    
  
   
  
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