SUSAN - A NEW APPROACH TO LOW-LEVEL IMAGE-PROCESSING

Authors
Citation
Sm. Smith et Jm. Brady, SUSAN - A NEW APPROACH TO LOW-LEVEL IMAGE-PROCESSING, International journal of computer vision, 23(1), 1997, pp. 45-78
Citations number
61
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
ISSN journal
09205691
Volume
23
Issue
1
Year of publication
1997
Pages
45 - 78
Database
ISI
SICI code
0920-5691(1997)23:1<45:S-ANAT>2.0.ZU;2-V
Abstract
This paper describes a new approach to low level image processing; in particular, edge and corner detection and structure preserving noise r eduction. Non-linear filtering is used to define which parts of the im age are closely related to each individual pixel; each pixel has assoc iated with it a local image region which is of similar brightness to t hat pixel. The new feature detectors are based on the minimization of this local image region, and the noise reduction method uses this regi on as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast. Details of the new feature detectors and of the new noise reduction method are described, along with test results .