基于GA-Otsu法的图像阈值分割及定量识别

doi:10.13229/j.cnki.jdxbgxb201703037

吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (3): 959-964.doi: 10.13229/j.cnki.jdxbgxb201703037

基于GA-Otsu法的图像阈值分割及定量识别

赵夫群^{1, 2}, 周明全^{2, 3}, 耿国华¹

1.西北大学信息科学与技术学院,西安 710127;
2.咸阳师范学院教育科学学院,陕西咸阳 712000;
3.北京师范大学信息科学与技术学院,北京 100875

收稿日期:2016-01-05 出版日期:2017-05-20 发布日期:2017-05-20
通讯作者: 周明全(1954-),男,教授,博士生导师.研究方向:图形图像处理,三维重建.E-mail:mqzhou@bnu.edu.cn
作者简介:赵夫群(1982-),女,博士研究生.研究方向:图形图像处理.E-mail:fuqunzhao@126.com
基金资助:
国家自然科学基金项目(61373117,61305032)

Image threshold segmentation with GA-Otsu method and quantitative identification

ZHAO Fu-qun^{1, 2}, ZHOU Ming-quan^{2, 3}, GENG Guo-hua¹

1.College of Information Science and Technology, Northwest University, Xi'an 710127, China;
2.College of Education Science, Xianyang Normal University, Xianyang 712000,China;
3.College of Information Science and Technology, Beijing Normal University, Beijing 100875, China

Received:2016-01-05 Online:2017-05-20 Published:2017-05-20

摘要/Abstract

摘要： 针对传统Otsu法在图像分割中存在的计算量大、效率低的问题,提出了一种基于GA-Otsu的热波图像分割方法。该方法充分发挥了遗传算法的全局寻优能力,快速地求解热波图像分割的最佳阈值,缩短了损伤的分割时间。通过与人工阈值法的分割结果进行对比,表明本文方法不仅保持了冲击损伤的基本形状,而且对冲击点位置的分割提取也较为准确。最后,通过对缺陷的定量识别验证了本文方法在热波检测图像分割中的有效性。

关键词: 计算机应用, 热波检测, 热波图像, 图像分割, 定量识别

Abstract: 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.

Key words: computer application, thermal waving inspection, thermal waving image, image segmentation, quantitative identification

中图分类号:

TP391.41

赵夫群, 周明全, 耿国华. 基于GA-Otsu法的图像阈值分割及定量识别[J]. 吉林大学学报(工学版), 2017, 47(3): 959-964.

ZHAO Fu-qun, ZHOU Ming-quan, GENG Guo-hua. Image threshold segmentation with GA-Otsu method and quantitative identification[J]. 吉林大学学报(工学版), 2017, 47(3): 959-964.

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基于GA-Otsu法的图像阈值分割及定量识别

Image threshold segmentation with GA-Otsu method and quantitative identification

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