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Evaluation of Camouflage Effect Based on Statistical Texture Features

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Published:12 July 2019Publication History

ABSTRACT

Camouflage is an important means to preserve military strength on the battlefield, and effective camouflage is essential. Therefore, it is important to evaluate camouflage effect quickly, accurately and objectively. In this paper, we established a gray level co-occurrence matrix model based on statistical texture features. We visually analyze the camouflage effect and provide a basis." is modified to "The method realizes the quantitative analysis of camouflage effect and provides a basis for the quantitative analysis of camouflage effect. It can reduce the influence of subjective psychology in the judgment of camouflage effect. The evaluation model is faster, more objective, and more accurate than traditional artificial interpretation. It can also improve the efficiency of military training.

References

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  1. Evaluation of Camouflage Effect Based on Statistical Texture Features

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          AICS 2019: Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science
          July 2019
          858 pages
          ISBN:9781450371506
          DOI:10.1145/3349341

          Copyright © 2019 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 12 July 2019

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