Matching dissimilar images: model and algorithm

Author

Tianxu, Zhang ; Weixue, Lu

Author_Institution

Inst. of Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., China

fYear

1993

fDate

1-4 Dec 1993

Firstpage

738

Lastpage

741

Abstract

This paper addresses a particular problem in the area of matching dissimilar images, which can be formalized to image transform and functional minimization process. Based on the additive measuring model for sequential X-ray images with grey level deviation and the finite element technique, a class of grey level correction function and a robust matching criterion are developed, and an adaptive hierarchical searching algorithm is studied. The simplified algorithm features parallelism in certain extent. Experimental results in medical imaging application are given

Keywords

biomedical imaging; finite element analysis; image matching; medical image processing; parallel algorithms; search problems; adaptive hierarchical searching algorithm; additive measuring model; finite element technique; functional minimization process; grey level correction function; grey level deviation; image transform; medical imaging application; robust matching criterion; sequential X-ray images; Artificial intelligence; Biomedical imaging; Blood vessels; Finite element methods; Image analysis; Image processing; Parallel processing; Pattern matching; Pattern recognition; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel and Distributed Processing, 1993. Proceedings of the Fifth IEEE Symposium on

Conference_Location

Dallas, TX

Print_ISBN

0-8186-4222-X

Type

conf

DOI

10.1109/SPDP.1993.395459

Filename

395459