Multispectral Image Segmentation for Fruit Quality Estimation

Authors:
Adolfo Martínez-Usó;Filiberto Pla;Pedro García-Sevilla
Affiliations:
Dpto. Lenguajes y Sistemas Informáticos, Jaume I University, e-mail: [auso,pla,pgarcia]@uji.es;Dpto. Lenguajes y Sistemas Informáticos, Jaume I University, e-mail: [auso,pla,pgarcia]@uji.es;Dpto. Lenguajes y Sistemas Informáticos, Jaume I University, e-mail: [auso,pla,pgarcia]@uji.es
Venue:
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Year:
2005

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Abstract

An unsupervised segmentation algorithm based on a multiresolution method is presented. This method uses variational functions as a segmentation criterion. The algorithm has been applied to multispectral images of fruits as a quality assessment application. In addition, due to the unsupervised nature of the procedure, it can be applied to real images in order to test the quality of these results.