By Obinata G., Dutta A. (eds.)
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Extra info for Vision systems: segmentation and pattern recognition
Over-segmentation, or multiple detections of a single surface, results in an incorrect topology. Under-segmentation, or insufficient separation of multiple surfaces, results in a subset of the correct topology and a deformed geometry. A missed classification is used when a segmenter fails to find a surface which appears in the image (false negative). A noise classification is used when the segmenter supposes the existence of a surface which is not in the image (false positive). Obviously, these metrics could have varying importance in different applications.
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Vision systems: segmentation and pattern recognition by Obinata G., Dutta A. (eds.)