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

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Image threshold segmentation with GA-Otsu method and quantitative identification

ZHAO Fu-qun1, 2, ZHOU Ming-quan2, 3, GENG Guo-hua1   

  1. 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

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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

CLC Number: 

  • TP391.41
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