DocumentCode
3356549
Title
A Multi-feature CBIR Method Using in the Traditional Chinese Medicine Tongue Diagnosis
Author
Zhu, WeiNa ; Zhou, Changle ; Xu, Dan ; Xu, Jiatuo
Author_Institution
Dept. of Comput., Xiamen Univ.
fYear
2006
fDate
3-5 Aug. 2006
Firstpage
831
Lastpage
836
Abstract
A new image retrieval method based on multi-feature (color and texture) is used in the traditional Chinese medicine (TCM) tongue diagnosis in this paper. We use a 20D eigenvector including both color and texture as whole image´s feature to retrieval the resemble tongue images. By this way we can classify the tongue pictures excellently and get great retrieval results. By experiments the result is satisfactory
Keywords
content-based retrieval; eigenvalues and eigenfunctions; image colour analysis; image retrieval; image texture; medical diagnostic computing; 20D eigenvector; content-based image retrieval; image color; image texture; traditional Chinese medicine tongue diagnosis; Biomedical imaging; Computer science; Feature extraction; Histograms; Humans; Image retrieval; Inspection; Medical diagnostic imaging; Pervasive computing; Tongue; Context Technology; Mobile Agent; Pervasive Computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pervasive Computing and Applications, 2006 1st International Symposium on
Conference_Location
Urumqi
Print_ISBN
1-4244-0326-x
Electronic_ISBN
1-4244-0326-x
Type
conf
DOI
10.1109/SPCA.2006.297540
Filename
4079111
Link To Document