Image segmentation based on graph theory

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dc.contributor.authorCheevasuvit, F.
dc.date.accessioned2026-08-06T09:49:47Z
dc.date.available2026-08-06T09:49:47Z
dc.date.issued1990-12-01
dc.description.abstractThis paper presents an automatic image classification by segmentation method based on graph theory, where each pixel of an image is mapped onto a vertex of graph and the vertices are connected by the link weights. The segmented regions are obtained by agglomerating the vertices which have minimum link weights under a given homogeneity condition. The result shows the segmented regions are connected and the segmented shapes are independent from the problem of scanning direction.
dc.identifier.citationProceedings of the International Symposium on Remote Sensing of Environment, 2, 1329-1334, 1990
dc.identifier.issn02755505
dc.identifier.other2-s2.0-0025562771
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/81
dc.sourceProceedings of the International Symposium on Remote Sensing of Environment
dc.titleImage segmentation based on graph theory
dc.typeConference Paper

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