Title :
Hyperspectral detection of citrus damage with Mahalanobis kernel classifier
Author :
J. Gomez;J. Blasco;E. Molto;G. Camps-Valls
Author_Institution :
Inst. Valenciano de Investig. Agrarias, Valencia
fDate :
9/27/2007 12:00:00 AM
Abstract :
Presented is a full computer vision system for the identification of post-harvest damage in citrus packing houses. The method is based on the combined use of hyperspectral images and the Mahalanobis kernel classifier. More accurate and reliable results compared to other methods are obtained in several scenarios and acquired images.
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20070906