Title :
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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201994
