DocumentCode
1943968
Title
A morphological dominant points detection and its cellular implementation
Author
Manzanera, J.R.A.
Author_Institution
Unite d´Electronique et d´Informatique, Ecole Nat. Superieure de Tech. Avancees, Paris, France
Volume
2
fYear
2003
fDate
1-4 July 2003
Firstpage
181
Abstract
This paper addresses the problem of detection of dominant points also called interest points or key points in the literature. We present a new algorithm to compute dominant points on a gray level image. It is founded on mathematical morphology, and it is adapted to SIMD cellular, level sets based, Boolean computation. It is also compliant with the morphological scale-space framework. Cellular implementation and results are presented.
Keywords
Boolean functions; image processing; mathematical morphology; Boolean computation; SIMD cellular; cellular implementation; gray level image; level sets; mathematical morphology; morphological dominant points detection; morphological scale-space framework; parallel cellular machine; skeleton; Application software; Gray-scale; Image matching; Image processing; Image registration; Level set; Morphology; Motion analysis; Network address translation; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224845
Filename
1224845
Link To Document