EFRM-based detection and extraction of ridge and valley features in grey level images

Author

Chown, T.J. ; Lewis, P.H.

Author_Institution

Dept. of Electron. & Comput. Sci., Southampton Univ., UK

fYear

1992

fDate

30 Aug-3 Sep 1992

Firstpage

339

Lastpage

342

Abstract

Describes a method for locating and extracting ridge and valley (and hence line) features in grey level images. A representation of the image known as the extended facet region model (EFRM) is first formed. The primary grouping constraint in this process is the orientation of patches in the image intensity surface. Inspection of geometric relationships between entities in the EFRM leads to the identification of ridge and valley structures and the subsequent placement of extracted line paths. The structures have knowledge of the local topological form of the image

Keywords

feature extraction; image segmentation; extended facet region model; feature detection; feature extraction; geometric relationships; grey level images; image intensity surface; image segmentation; line features; local topological form; primary grouping constraint; ridge features; valley features; Computer science; Computer vision; Design methodology; Face detection; Inspection; Joining processes; Knowledge based systems; Polynomials; Surface fitting; Surface topography;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Conference_Location

The Hague

Print_ISBN

0-8186-2920-7

Type

conf

DOI

10.1109/ICPR.1992.201994

Filename

201994