Research on Quality Evaluation of Maize Seed Shape Based on Support Vector Machine

被引：0

作者：

Zou Yuanyuan ^{[1
]}

Zhang Jilong ^{[2
]}

Fang Lingshen ^{[2
]}

机构：

[1] Shenyang Jianzhu Univ, Sch Mech Engn, Natl Local Joint Engn Lab NC Machining Equipment, Shenyang, Liaoning, Peoples R China

[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning, Peoples R China

来源：

2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年

关键词：

support vector machine; quality evaluation; maize seed shape; kernel function; image processing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to improve the efficiency of maize breeding, the automatic laser cutting robot is applied to maize breeding for sampling of maize seeds. In the process of laser cutting, the quality evaluation of maize seed shape is an important guarantee to realize the high efficiency and automation of sampling. A method for quality evaluation of maize seed shape based on support vector machine is proposed in this paper. Firstly, the images of maize seed are captured and the feature parameters including long axis length, short axis length, area, perimeter and length width ratio of maize seed are extracted by image processing. Secondly, the support vector machine model was established by using these feature parameters as network inputs. Lastly, quality of maize seed shape was evaluated by using linear kernel function, polynomial kernel function and radial basis kernel function. The results show that the quality of maize seed shape can be effectively evaluated by using SVM model of radial basis kernel function. This method is helpful to realize the automation of laser cutting for chip sampling of maize breeding.

引用

页码：695 / 699

页数：5

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