Quality measures for image segmentation using generated images

Theo E. Schouten; Maurice S. Klein Gebbinck

doi:10.1117/12.226860

17 November 1995 Quality measures for image segmentation using generated images

Theo E. Schouten, Maurice S. Klein Gebbinck

Proceedings Volume 2579, Image and Signal Processing for Remote Sensing II; (1995) https://doi.org/10.1117/12.226860
Event: Satellite Remote Sensing II, 1995, Paris, France

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.

Citation Download Citation

Theo E. Schouten and Maurice S. Klein Gebbinck "Quality measures for image segmentation using generated images", Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); https://doi.org/10.1117/12.226860

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