Multispectral image segmentation by energy minimization for fruit quality estimation

Abstract

This article presents the results of an unsupervised segmentation algorithm in multispectral images. The algorithm uses a minimization function which takes into account each band intensity information together with global edge criterion. Due to the unsupervised nature of the procedure, it can adapt itself to the huge variability of intensities and shapes of the image regions. Results shows the effectiveness of the method in multispectral fruit inspection applications and in remote sensing tasks. © Springer-Verlag Berlin Heidelberg 2005.