Multiresolution colour texture analysis for classifying colon cancer images

Author

Shuttleworth, J.K. ; Todman, A.G. ; Naguib, R.N.G. ; Newman, B.M. ; Bennett, M.K.

Author_Institution

R. Victoria Infirmary, Newcastle upon Tyne, UK

Volume

2

fYear

2002

fDate

2002

Firstpage

1118

Abstract

Co-occurrence matrices are commonly used to extract fine texture information from images, and have been found to be a useful tool for measuring dysplasia in histological images of the colon. Pathologists, however, measure dysplasia in tissue samples at structural as well as cytological levels. We present our findings after investigating modifications to the cooccurrence matrix technique to measure this low frequency colour texture information for the classification of colon cancer images.

Keywords

biological organs; biological techniques; biology computing; cancer; cellular biophysics; image classification; image colour analysis; image resolution; image texture; matrix algebra; medical image processing; co-occurrence matrices; colon cancer image classification; cytological levels; dysplasia; dysplastic colon polyp; fine texture information; histological images; low frequency colour texture information; multiresolution colour texture analysis; structural levels; tissue samples; Cancer; Colon; Data mining; Frequency measurement; Image analysis; Image color analysis; Image resolution; Image texture analysis; Microscopy; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106305

Filename

1106305