A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives

Haibo Xu, Buhai Shi and Qingming Zhang

Mathematical Problems in Engineering, 2018, vol. 2018, 1-11

Abstract:

This paper is a novel study on crack detection of industrial explosives. The proposed algorithm consists of the following steps: 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 ; as compared with other algorithms, our method can realize real-time multitarget detection function; 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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:8738316

DOI: 10.1155/2018/8738316

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