On interest point detection under a landmark-based medical image registration context

Author

Martins, P. ; Carvalho, P.

Author_Institution

Dept. of Inf. Eng., Univ. of Coimbra Polo II, Coimbra, Portugal

fYear

2009

fDate

7-10 Nov. 2009

Firstpage

2529

Lastpage

2532

Abstract

A comparison and a performance evaluation of 3D interest point detectors based on the structure tensor matrix under a medical image registration context is presented. The study regards the distinctiveness and the repeatability rate exhibited by the detectors on medical images as the fundamental criteria for selecting a detector to be the support of a registration task. We empirically assess those requirements under the specificities of medical image analysis and registration.

Keywords

image registration; matrix algebra; medical image processing; object detection; tensors; 3D interest point detectors; landmark-based medical image registration context; medical image analysis; medical image detector; structure tensor matrix; Anatomy; Biomedical engineering; Biomedical imaging; Biomedical informatics; Computer vision; Detectors; Image analysis; Image registration; Image retrieval; Tensile stress; Interest Points; Invariant Features; Landmark-based Registration; Medical Image Registration;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2009 16th IEEE International Conference on

Conference_Location

Cairo

ISSN

1522-4880

Print_ISBN

978-1-4244-5653-6

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2009.5414009

Filename

5414009