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摘要: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.Thhe evaluation model is faster,more objective,and more accurate than traditional artificial interpretation.It can also improve the efficiency of military training.
会议名称:

The 2019 International Conference on Artificial Intelligence and Computer Science(AICS 2019)

会议时间:

2019-07-12

会议地点:

中国湖北武汉

  • 专辑:

    社会科学Ⅰ辑; 信息科技

  • 专题:

    军事; 计算机软件及计算机应用

  • DOI:

    10.26914/c.cnkihy.2019.048645

  • 分类号:

    TP391.41;E251

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