Scale and segmentation of grey-level images using maximum gradient paths

We present a technique for the construction of multiscale 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...

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Veröffentlicht in:	Image and vision computing 1992, Vol.10 (6), p.389-402
Hauptverfasser:	Griffin, L.D, Colchester, A.C.F, Robinson, G.P
Format:	Artikel
Sprache:	eng
Schlagworte:	grey-level skeleton morphology multi-scale representation ridge saddle-point trough
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creator	Griffin, L.D Colchester, A.C.F Robinson, G.P
description	We present a technique for the construction of multiscale 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.
doi_str_mv	10.1016/0262-8856(92)90025-X
format	Article
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language	eng
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source	Elsevier ScienceDirect Journals
subjects	grey-level skeleton morphology multi-scale representation ridge saddle-point trough
title	Scale and segmentation of grey-level images using maximum gradient paths
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