DocumentCode
1564973
Title
Edge Detection and Anisotropic Diffusion for Tensor-Valued Images
Author
Zhang, Fang ; Hancock, Edwin R.
Author_Institution
Dept. of Comput. Sci., York Univ., UK
fYear
2006
Firstpage
229
Lastpage
232
Abstract
This paper considers feature space of DT-MRI as a differential manifold with an affine-invariant metric, where we generalise Di Zenzo´s structure tensor to tensor-valued images for edge detection. To improve the quality of the edges, we smooth out the noise by generalised Perona-Malik method for tensor images. We demonstrate our algorithm on both synthetic and real DT-MRI data.
Keywords
edge detection; magnetic anisotropy; magnetic resonance imaging; smoothing methods; tensors; DT-MRI; Di Zenzo structure; Perona-Malik method; affine-invariant metric; anisotropic diffusion; diffusion tensor; edge detection; magnetic resonance imaging; noise smoothing; Anisotropic magnetoresistance; Computer science; Diffusion tensor imaging; Extraterrestrial measurements; Image edge detection; Image segmentation; Magnetic noise; Symmetric matrices; Tensile stress; Transmission line matrix methods; Image edge analysis; image restoration; object detection; smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2006 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1522-4880
Print_ISBN
1-4244-0480-0
Type
conf
DOI
10.1109/ICIP.2006.312467
Filename
4106508
Link To Document