title: A preliminary study of moment-based texture analysis for medical images.
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.
authors.affiliation: Laboratory of Image Science and Technology, Department of Computer Science and Engineering, Southeast University, China. wukehello@gmail.com
authors.forename: Ke
authors.initials: K
authors.lastname: Wu
authors.forename: Carole
authors.initials: C
authors.lastname: Garnier
authors.forename: Jean-Louis
authors.initials: JL
authors.lastname: Coatrieux
authors.forename: Huazhong
authors.initials: H
authors.lastname: Shu
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008099:Liver / Q000000981:diagnostic imaging; D008297:Male; D011467:Prostate / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed; D014463:Ultrasonography