English, Article edition: A NEW METHOD OF MEDICAL IMAGE RETRIEVAL BASED ON COLORâTEXTURE CORRELOGRAM AND GTI MODEL XIAO-YING TAI; LI-DONG WANG; QIN CHEN; ...

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Bookmark: http://trove.nla.gov.au/version/15713
Physical Description
  • article
Language
  • English

Edition details

Title
  • A NEW METHOD OF MEDICAL IMAGE RETRIEVAL BASED ON COLORâTEXTURE CORRELOGRAM AND GTI MODEL
Author
  • XIAO-YING TAI
  • LI-DONG WANG
  • QIN CHEN
  • REN FUJI
  • KITA KENJI
Physical Description
  • article
Notes
  • This paper presents a method for endoscopic image retrieval based on colorâtexture correlogram and Generalized Tversky's Index (GTI) model. First we define a new image feature named colorâtexture correlogram, which is the extension of color correlogram. The texture image extracted by texture spectrum algorithm is combined with color feature vector, and then we calculate the spatial correlation of colorâtexture feature vector. Similarity metric is also the key technology during domain of image retrieval, GTI model is used in medical image retrieval for similarity metric, and the technique of relevance feedback is used in the algorithm to enhance the efficiency of retrieval. Experimental results show that the method discussed in this paper is much more effective.
  • Medical image retrieval, endoscopic images, color correlogram, texture spectrum, colorâtexture correlogram, GTI model
  • RePEc:wsi:ijitdm:v:08:y:2009:i:02:p:239-248
Language
  • English
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