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

Guangjian TIAN, Hong FU, David Dagan FENG

Research output: Chapter in Book/Report/Conference proceedingChapters

23 Citations (Scopus)

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. Copyright © 2008 IEEE.
Original languageEnglish
Title of host publication5th International Conference on Information Technology and Applications in Biomedicine (ITAB 2008), in conjunction with 2nd International Symposium & Summer School on Biomedical and Health Engineering (IS3 BHE 2008)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages51-53
ISBN (Electronic)9781424422555
ISBN (Print)9781424422548
DOIs
Publication statusPublished - 2008

Citation

Tian, G., Fu, H., & Feng, D. D. (2008). Automatic medical image categorization and annotation using LBP and MPEG-7 edge histograms. In 5th International Conference on Information Technology and Applications in Biomedicine (ITAB 2008), in conjunction with 2nd International Symposium & Summer School on Biomedical and Health Engineering (IS3 BHE 2008) (pp. 51-53). Piscataway, NJ: IEEE.

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