Title :
Hybrid method for cereal grain identification using morphological and color features
Author :
Mehrez, Abdellaoui ; Ali, Douik ; Mohamed, Annabi
Author_Institution :
ENIM, Monastir
Abstract :
In this paper, a hybrid method for cereal grain identification is presented. This method combines a statistical pattern recognition method using morphological and color features and a new method based on the fuzzy logic decision making. The classification is made by the combination of these two methods. We achieved this method to win in precision of the statistical method and in capability of decision making of the method based on the fuzzy logic.
Keywords :
agricultural products; colour; computer vision; decision making; feature extraction; fuzzy logic; image classification; inspection; pattern recognition; statistical analysis; cereal grain identification; fuzzy logic decision making; machine vision inspection; morphological color features; pattern classification; statistical pattern recognition method; Automation; Decision making; Extremities; Feature extraction; Fuzzy logic; Laboratories; Machine vision; Pattern recognition; Statistical analysis; Statistical distributions;
Conference_Titel :
Electronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
1-4244-0395-2
Electronic_ISBN :
1-4244-0395-2
DOI :
10.1109/ICECS.2006.379927
