Quality measures for image segmentation using generated images
Theo E. Schouten, Maurice S. Klein Gebbinck · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
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.