Image segmentation by unifying region and boundary information

A two-stage method of image segmentation based on gray level cooccurrence matrices is described. An analysis of the distributions within a cooccurrence matrix defines an initial pixel classification into both region and interior or boundary designations. Local consistency of pixel classification is...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 1990-10, Vol.12 (10), p.929-948
Hauptverfasser:	Haddon, J.F., Boyce, J.F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Entropy Exact sciences and technology Image analysis Image processing Image segmentation Image sequences Infrared imaging Interference Labeling Pattern recognition. Digital image processing. Computational geometry Robustness Statistics
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