Quantitative evaluation of color image segmentation results using fuzzy neural network

Didier Coquin

doi:10.1117/12.807286

17 November 2008 Quantitative evaluation of color image segmentation results using fuzzy neural network

Didier Coquin

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.

Citation Download Citation

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

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