publication . Article . 2004

CLASSIFYING APPLES BY THE MEANS OF FLUORESCENCE IMAGING

Codrea, Marius C.; Nevalainen, Olli S.; Tyystjärvi, Esa; VAN DE VEN, Martin; VALCKE, Roland;
Restricted
  • Published: 01 Jan 2004 Journal: International Journal of Pattern Recognition and Artificial Intelligence, volume 18, pages 157-174 (issn: 0218-0014, eissn: 1793-6381, Copyright policy)
  • Publisher: World Scientific Pub Co Pte Lt
  • Country: Belgium
Abstract
<jats:p> Classification of harvested apples when predicting their storage potential is an important task. This paper describes how chlorophyll a fluorescence images taken in blue light through a red filter, can be used to classify apples. In such an image, fluorescence appears as a relatively homogenous area broken by a number of small nonfluorescing spots, corresponding to normal corky tissue patches, lenticells, and to damaged areas that lower the quality of the apple. The damaged regions appear more longish, curved or boat-shaped compared to the roundish, regular lenticells. We propose an apple classification method that employs a hierarchy of two neural netw...
Subjects
ACM Computing Classification System: ComputingMethodologies_PATTERNRECOGNITION
free text keywords: Software, Artificial Intelligence, Computer Vision and Pattern Recognition, Neural network classifier, Fluorescence-lifetime imaging microscopy, Hierarchy, Pattern recognition, Spots, Artificial neural network, Computer vision, Image processing, business.industry, business, Mathematics
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Article . 2004

CLASSIFYING APPLES BY THE MEANS OF FLUORESCENCE IMAGING

Codrea, Marius C.; Nevalainen, Olli S.; Tyystjärvi, Esa; VAN DE VEN, Martin; VALCKE, Roland;