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| Anti-interference Method of Infrared Fuze Based on Density-Distance Space |
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| DOI：10.7643/issn.1672-9242.2022.11.007 |
| KeyWord:infrared targets anti-interference fuze environmental adaptability density-distance pixel growth method |
| Author | Institution |
| ZHANG Cong |
School of Equipment Engineering, Shenyang Ligong University, Shenyang , China |
| QUAN Kang-nan |
School of Equipment Engineering, Shenyang Ligong University, Shenyang , China |
| YUE Ming-kai |
School of Equipment Engineering, Shenyang Ligong University, Shenyang , China |
| HAN Zi-qiang |
School of Equipment Engineering, Shenyang Ligong University, Shenyang , China |
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| Abstract: |
| The paper intends to improve the anti-jamming ability of infrared fuze in acomplex environment through simple image processing and target detection methods. To analyze the noise class of infrared fuzes in complex back grounds, the "density-distance" spatial method and pixel growth method are used for preprocessing and target detection. The pixel is assigned with two properties, and under quantitative analysis to determine the infrared candidate target in the gray flat area, and the real target in the candidate target is screened by the pixel growth method. The anti-interference ability of the algorithm in different signal-to-noise ratio environments is calculated, and the object detection effect is ideal when the SNR value of the infrared image is between 44.1 to 45.4.The complex background and random noise in the infrared fuze detection process will reduce the image quality. Considering that the infrared target occupies a small number of pixels and is easily affected by noise, it is necessary to use an adaptive simple algorithm to improve detection accuracy. This algorithm has good real-time performance and anti-jamming ability, which provides a theoretical basis for the environmental adaptability of infrared fuze in target detection. |
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