Title :
Directional Invariance of Co-occurrence Matrices within the Liver
Author :
Philips, Carl ; Li, Daniel ; Raicu, Daniela ; Furst, Jacob
Author_Institution :
DePaul Univ., Chicago, IL
fDate :
June 29 2008-July 5 2008
Abstract :
Co-occurrence matrices are one of three texture algorithms commonly used on computed tomography (CT) images. In this paper we analyze the directional invariance of Co-occurrence matrices for the purpose of reducing their runtime by reducing the number of directions analyzed without negatively affecting the quality of the texture data extracted.
Keywords :
computerised tomography; image classification; image texture; liver; medical image processing; co-occurrence matrices; computed tomography images; directional invariance; liver; texture algorithms; Computed tomography; Data mining; Feature extraction; Image analysis; Image texture analysis; Jacobian matrices; Liver; Predictive models; Shape; Signal processing algorithms; 3D; Liver; texture;
Conference_Titel :
Biocomputation, Bioinformatics, and Biomedical Technologies, 2008. BIOTECHNO '08. International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-0-7695-3191-5
Electronic_ISBN :
978-0-7695-3191-5
DOI :
10.1109/BIOTECHNO.2008.24
