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

作者：Xu, Haibo^*; Shi, Buhai; Zhang, Qingming

来源：Mathematical Problems in Engineering, 2018, 2018: 8738316.

DOI：10.1155/2018/8738316

• VISION SYSTEM
• MODEL

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..; (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.

• 出版日期2018
• 单位华南理工大学