Title :
Application of Gabor Filter and Multi-class SVM in Baking Bread Quality Classification
Author :
Fan, Yanfeng ; Zhang, Hongmei
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol.
Abstract :
This paper presents a method in classifying the baking quality-test bread based on Gabor filters and SVMs. Gray images of the field of view are transformed with different orientations and scales by filters. The texture features are denoted by the energy standard value and standard variance. A multi-class Support Vector Machine is proposed to implement the quick classification of baking bread according to small amount samples. The results indicate the practicability and feasibility of the method
Keywords :
Gabor filters; feature extraction; image texture; support vector machines; Gabor filter; Gray images; baking bread quality classification; image texture; support vector machines; Automation; Feature extraction; Frequency domain analysis; Gabor filters; Gaussian processes; Humans; Mechatronics; Support vector machine classification; Support vector machines; Wavelet analysis; Gabor filter; SVM; baking bread; texture features;
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
DOI :
10.1109/ICMA.2006.257396
