Quantitative evaluation of color image segmentation results

Authors:
M. Borsotti;P. Campadelli;R. Schettini
Affiliations:
Dip. di Scienze dell'Informazione, Università degli Studi di Milano, Via Comelico 39, Milano, Italy;Dip. di Scienze dell'Informazione, Università degli Studi di Milano, Via Comelico 39, Milano, Italy;ITIM, Istituto Tecnologie Informatiche Multimediali, CNR, Consiglio Nazionale delle Ricerche, Via Ampere 56, 20131 Milano, Italy
Venue:
Pattern Recognition Letters
Year:
1998

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Abstract

In this paper we consider the problem of the automatic evaluation of the results of color image segmentation. Liu and Yang (1994) have proposed an evaluation function, inspired by the qualitative criteria for good image segmentation established by Haralick and Shapiro (1985), that does not require that the user set any parameter or threshold value. We identify some limitations in this evaluation function, and propose two enhanced functions that correspond more closely to visual judgment.