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Proceedings Paper

Quality measures for image segmentation using generated images
Author(s): Theo E. Schouten; Maurice S. Klein Gebbinck
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Paper Abstract

To provide a quantitative measure of the quality of a segmentation of an image a `true' segmentation must be known and the differences between the two segmentations must be transformed into one or more quality values. A method is described to generate a realistic satellite image and its true segmentation to sub-pixel level using ground truth data and a real image. Quality measures are described which evaluate two kinds of errors: the splitting of a real field into more than one segment and the merging of pixels from different fields into a segment. Results for various segmentation methods are discussed.

Paper Details

Date Published: 17 November 1995
PDF: 12 pages
Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); doi: 10.1117/12.226860
Show Author Affiliations
Theo E. Schouten, Katholieke Univ. Nijmegen (Netherlands)
Maurice S. Klein Gebbinck, Katholieke Univ. Nijmegen (Netherlands)

Published in SPIE Proceedings Vol. 2579:
Image and Signal Processing for Remote Sensing II
Jacky Desachy, Editor(s)

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