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IBPRIA
2005
Springer

Multispectral Image Segmentation by Energy Minimization for Fruit Quality Estimation

9 years 6 months ago
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.
Adolfo Martínez Usó, Filiberto Pla,
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IBPRIA
Authors Adolfo Martínez Usó, Filiberto Pla, Pedro García-Sevilla
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