Image threshold segmentation with GA-Otsu method and quantitative identification

被引：0

作者：

Zhao F.-Q. ^{[1
,2
]}

Zhou M.-Q. ^{[2
,3
]}

Geng G.-H. ^{[1
]}

机构：

[1] College of Information Science and Technology, Northwest University, Xi'an

[2] College of Education Science, Xianyang Normal University, Xianyang

[3] College of Information Science and Technology, Beijing Normal University, Beijing

来源：

Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2017年 / 47卷 / 03期

关键词：

Computer application; Image segmentation; Quantitative identification; Thermal waving image; Thermal waving inspection;

D O I：

10.13229/j.cnki.jdxbgxb201703037

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

To overcome the shortcomings of large amount of calculation and low efficiency of the traditional Otsu method in image segmentation, a GA-Otsu segmentation method for thermal waving images is proposed. The method gives full play to the genetic algorithm with global searching ability. The optimal threshold of the thermal waving image segmentation can be attained quickly and the segmentation time of the injury is shortened. Compared with the artificial threshold segmentation method, experiment results show that the proposed method not only keeps the basic shape of impact damage, but also the position of impact point segmentation is accurate. Finally, the feasibility of the proposed method is proved by the thermal wave image threshold segmentation. © 2017, Editorial Board of Jilin University. All right reserved.

引用

页码：959 / 964

页数：5

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