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Proceedings Paper

The Unification Of Region And Edge Information For Image Segmentation
Author(s): John F. Haddon; James. F. Boyce
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Paper Abstract

An initial pixel classification into both region class and interior or boundary designation is made based on an analysis of the distributions within the grey level cooccurrence matrices of an image. Local consistency of classification is then implemented by minimising the local entropy of region and boundary information. This is a robust way of simultaneously segmenting an image into texturally homogeneous areas with a thresholded edge map. Examples are shown using forward looking infrared (FLIR) images. The technique has been extended to cover any digital edge operator and an example is shown for the Spacek operator.

Paper Details

Date Published: 24 August 1988
PDF: 8 pages
Proc. SPIE 0933, Multispectral Image Processing and Enhancement, (24 August 1988); doi: 10.1117/12.968452
Show Author Affiliations
John F. Haddon, Royal Aircraft Establishment (United Kingdom)
James. F. Boyce, King's College (United Kingdom)


Published in SPIE Proceedings Vol. 0933:
Multispectral Image Processing and Enhancement
Marshall R. Weathersby, Editor(s)

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