Title :
A Structure Tensor Approach for 3D Image Skeletonization: Applications in Protein Secondary Structure Analysis
Author :
Yu, Zhiqiang ; Eajap, C.
Author_Institution :
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
Abstract :
We present an approach for three-dimensional (3D) image skeletonization, based on the local structure tensor idea. Two major types of features are addressed: helical and planar. Accordingly, we also discussed how the skeletonization approach is successfully applied to the protein secondary structure analysis, including the alpha-helix (helical type) and beta-sheet (planar type) identifications.
Keywords :
biological techniques; biology computing; image thinning; molecular biophysics; molecular configurations; proteins; tensors; 3D image skeletonization; helical type protein; planar type protein; protein secondary structure analysis; structure tensor approach; Application software; Biology computing; Eigenvalues and eigenfunctions; Image analysis; Image processing; Image reconstruction; Magnetic resonance imaging; Optical imaging; Proteins; Tensile stress; Local structure tensor; Protein secondary structure identification; Skeletonization;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312804
