Title :
Color Recognition Model Based on Multiple SVMs for Bobbin Sorting Machine
Author :
Mu Zhang ; Yufeng Jia
Author_Institution :
Electr. Eng. & Autom. Dept., Tianjin Polytech. Univ., Tianjin, China
Abstract :
Color recognition plays an important role during the process of bobbin sorting. a new multiple SVMs method is proposed to establish the color recognition model for bobbin sorting machine. the comparisons are done between the model based on new method and the models based on traditional methods. the experiments demonstrate that the new color recognition model has the best learning and generalization abilities.
Keywords :
image colour analysis; image recognition; materials handling equipment; production engineering computing; support vector machines; bobbin sorting machine; color recognition model; generalization ability; learning ability; multiple SVM method; support vector machines; Boosting; Data models; Image color analysis; Kernel; Sorting; Support vector machines; color recognitio; obbin sorting machine; support vector machine (SVM);
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.206
