A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives
Joint Authors
Shi, Buhai
Zhang, Qingming
Xu, Haibo
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper is a novel study on crack detection of industrial explosives.
The proposed algorithm consists of the following steps: (1) image preprocessing was performed according to the defect features of industrial explosives cartridge, and we developed an improved visual attention based algorithm.
This proposed algorithm features a parametric analysis that can be implemented on the image according to the conspicuous maps with the introduction of the concept of defect discrimination ξ; (2) as compared with other algorithms, our method can realize real-time multitarget detection function; (3) a new analysis method, the IPV-WEN algorithm, was proposed to analyze the cartridge defects based on performance indices.
Through comparison and experimentation, it was revealed that this method can achieve a detection accuracy of 97.9%, with detection time of 34.51 ms, which satisfied the requirement in the industrial explosives production.
American Psychological Association (APA)
Xu, Haibo& Shi, Buhai& Zhang, Qingming. 2018. A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1209458
Modern Language Association (MLA)
Xu, Haibo…[et al.]. A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1209458
American Medical Association (AMA)
Xu, Haibo& Shi, Buhai& Zhang, Qingming. A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1209458
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209458