Title
Scale and segmentation of grey-level images using maximum gradient paths
Abstract
We present a technique for the construction of multi-scale representations of grey-level images. Unlike conventional representations the scales are discrete as opposed to continuous and their level is solely determined by the data. The technique is based upon connecting singular points in the image with maximum gradient paths. We also describe two segmentation methods which use the maximum gradient paths generated during the construction of the multi-scale representation. In both segmentation techniques the paths are used to determine significant ridges and troughs. The first technique operates directly on the image, while the second technique uses the magnitude of the image derivative.
Year
DOI
Venue
1992
10.1016/0262-8856(92)90025-X
Image and Vision Computing
Keywords
DocType
Volume
morphology,multi-scale representation,saddle-point,maximum gradient paths,trough,maximum gradient path,grey-level skeleton,multi-scale representation.,ridge,grey-level image,saddle point,singular point
Journal
10
Issue
ISSN
ISBN
6
Image and Vision Computing
3-540-54246-9
Citations 
PageRank 
References 
29
7.29
14
Authors
3
Name
Order
Citations
PageRank
L. D. Griffin113411.01
A. C. F. Colchester24915.38
G. P. Robinson33511.90