An Intelligent Classification Model for Rubber Seed Clones Based on Shape Features through Imaging Techniques

This paper describes research work in developing an intelligent model for classifying selected rubber tree series clones based on shape features using image processing techniques. Sample of rubber tree seeds are captured using digital camera where the RGB color image are processed involving segmenta...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Hashim, H., Osman, F.N., Al Junid, S.A.M., Haron, M.A., Salleh, H.M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Classification tree analysis Cloning Color Digital cameras digital image processing Image processing Image segmentation Levenberg-Marquardt ANN Principal component analysis Principle Component Analysis Rubber rubber seed clones Shape
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!