Application of Gabor filter and multi-class SVM in baking bread quality classification

被引：0
|
作者：
Fan, Yanfeng [1 ]
Zhang, Hongmei [1 ]
机构：
[1] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou, Henan Province, Peoples R China
来源：
IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS | 2006年
关键词：
Gabor filter; SVM; baking bread; texture features;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1498 / +
页数：3
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