A preliminary study of moment-based texture analysis for medical images

Author

Wu, Ke ; Garnier, Carole ; Coatrieux, Jean-Louis ; Shu, Huazhong

Author_Institution

Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

5581

Lastpage

5584

Abstract

A moment-based approach is proposed for texture analysis of medical images. The neighborhood of texture pixel is calculated by moments for texture feature extraction. After verified on Brodatz textures, the moment-based texture analysis method is applied on CT liver scan classification and prostate ultrasound segmentation. A support vector machine and a multi-channel active contour model are used in our application. The result shows that our method works well but still have some limitations.

Keywords

biomedical ultrasonics; computerised tomography; feature extraction; image classification; image segmentation; image texture; liver; medical image processing; support vector machines; Brodatz textures; CT liver scan classification; medical images; moment-based texture analysis; multichannel active contour model; prostate ultrasound segmentation; support vector machine; texture feature extraction; texture pixel; Computed tomography; Feature extraction; Image segmentation; Medical diagnostic imaging; Pixel; Support vector machines; Diagnostic Imaging; Humans; Image Interpretation, Computer-Assisted; Liver; Male; Prostate; Tomography, X-Ray Computed;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626789

Filename

5626789