Translator Disclaimer
Paper
17 November 2008 Quantitative evaluation of color image segmentation results using fuzzy neural network
Author Affiliations +
Proceedings Volume 7266, Optomechatronic Technologies 2008; 72661G (2008) https://doi.org/10.1117/12.807286
Event: International Symposium on Optomechatronic Technologies, 2008, San Diego, California, United States
Abstract
In this paper we consider the problem of the automatic evaluation of the results of color image segmentation. There are supervised evaluation criteria based on the computation of the dissimilarity measure between segmentation result and ground truth. Also, there are unsupervised evaluation criteria that enable the quality of a segmentation result without any a priori knowledge. Here, starting from the criteria, we retained six attributes which are summarized in a performance vector and will be used for an evaluation based on a fuzzy neural network.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Didier Coquin "Quantitative evaluation of color image segmentation results using fuzzy neural network", Proc. SPIE 7266, Optomechatronic Technologies 2008, 72661G (17 November 2008); https://doi.org/10.1117/12.807286
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Neural network for image segmentation
Proceedings of SPIE (October 13 2000)
Segmentation of dual-echo MR images using neural networks
Proceedings of SPIE (September 14 1993)
Color image segmentation: a review
Proceedings of SPIE (February 26 2010)
On the methods of image segmentation with uncertainty
Proceedings of SPIE (October 28 2006)

Back to Top