Automatic medical image categorization and annotation using LBP and MPEG-7 edge histograms

Author

Tian, GuangJian ; Fu, Hong ; Feng, David Dagan

Author_Institution

Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong

fYear

2008

fDate

30-31 May 2008

Firstpage

51

Lastpage

53

Abstract

This paper presents a global and local texture features combination as the description of medical images. The approaches use the block based Local Binary Pattern (LBP) texture histogram and MPEG-7 edge histogram together as the medical image description. The block histograms and the whole image texture histograms are accumulated to generate the image feature vector. Then, One-against-One SVM is adopted for automatic medical image annotation task in ImageCLEFmed2007. The experiments show that Local Binary Pattern texture and Edge Histogram are powerful for automatic medical image annotation.

Keywords

feature extraction; image classification; image retrieval; image texture; medical image processing; ImageCLEFmed2007; MPEG-7 edge histogram; automatic medical image categorization; global texture feature; image feature vector; local binary pattern texture histogram; local texture feature; medical image annotation; one-against-one SVM; Binary codes; Biomedical imaging; Histograms; Image retrieval; Information technology; MPEG 7 Standard; Medical diagnostic imaging; Pixel; Signal processing; Support vector machines; Local Binary Pattern; MPEG-7 Edge Histogram; automatic medical image annotation; medical image retrieval;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Applications in Biomedicine, 2008. ITAB 2008. International Conference on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-2254-8

Electronic_ISBN

978-1-4244-2255-5

Type

conf

DOI

10.1109/ITAB.2008.4570523

Filename

4570523