A methodology for quality assessment in tensor images

Author

Muoz-Moreno, E. ; Aja-Fernandez, S. ; Martin-Fernandez, M.

Author_Institution

Lab. de Procesado de Imagen, Univ. de Valladolid, Valladolid

fYear

2008

fDate

23-28 June 2008

Firstpage

1

Lastpage

6

Abstract

Since tensor usage has become more and more popular in image processing, the assessment of the quality between tensor images is necessary for the evaluation of the advanced processing algorithms that deal with this kind of data. In this paper, we expose the methodology that should be followed to extend well-known image quality measures to tensor data. Two of these measures based on structural comparison are adapted to tensor images and their performance is shown by a set of examples. By means of these experiments the advantages of structural based measures will be highlighted, as well as the need for considering all the tensor components in the quality assessment.

Keywords

image registration; tensors; quality assessment; structural based measure; tensor image; Biomedical imaging; Capacitive sensors; Diffusion tensor imaging; Image analysis; Image processing; Image quality; Inspection; Muscles; Quality assessment; Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Conference_Location

Anchorage, AK

ISSN

2160-7508

Print_ISBN

978-1-4244-2339-2

Type

conf

DOI

10.1109/CVPRW.2008.4562965

Filename

4562965