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The evaluation index of camouflage patterns is important in the field of military application. It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism. In order to make the evaluation method more computationally intelligent, a Multi-Feature Camouflage Fused Index (MF-CFI) is proposed based on the comparison of grayscale, color and texture features between the target and the background. In order to verify the effectiveness of the proposed index, eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index (UIQI), Camouflage Similarity Index (CSI) and Structural Similarity (SSIM). Twenty-four different simulated targets are designed in a grassland background, 28 observers participate in the experiment and record the eye movement data during the observation process. The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data, both in the designed digital camouflage patterns and large-spot camouflage patterns. Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception, the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms. 相似文献
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Yong-bao Ai Ting Rui Xiao-qiang Yang Jia-lin He Lei Fu Jian-bin Li Ming Lu 《防务技术》2021,17(5):1712-1721
A great number of visual simultaneous localization and mapping (VSLAM) systems need to assume static features in the environment. However, moving objects can vastly impair the performance of a VSLAM system which relies on the static-world assumption. To cope with this challenging topic, a real-time and robust VSLAM system based on ORB-SLAM2 for dynamic environments was proposed. To reduce the influence of dynamic content, we incorporate the deep-learning-based object detection method in the visual odometry, then the dynamic object probability model is added to raise the efficiency of object detection deep neural network and enhance the real-time performance of our system. Experiment with both on the TUM and KITTI benchmark dataset, as well as in a real-world environment, the results clarify that our method can significantly reduce the tracking error or drift, enhance the robustness, accuracy and stability of the VSLAM system in dynamic scenes. 相似文献
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从分析传统专家系统入手,把WINDOWS下的可视化技术和面向对象技术引入到人工智能程序设计中来。讨论了故障树模型的面向对象表示方法及其推理算法。根据雷达故障诊断中的典型故障树,给出了一个基于Visual Basic语言的故障诊断专家系统设计实例。 相似文献
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计算机的应用和普及对办公自动化起到了极大的推动作用。针对“文档一体化”的提出,档案管理工作的改革需要新的计算机档案文件管理系统。以Visual FoxPro为开发工具,分别从需求分析、系统实现、主要功能设计和系统应用与改进四个角度,对计算机档案文件管理系统进行阐述和研究。 相似文献
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面向部队修理分队的编程人员,提供了一种界面美观、交互性好的自动编程系统,目的是减少数控机床在零件加工过程中人的参与,进一步提高加工自动化程度.该软件以Visual C 作为开发工具,具有良好的用户界面,操作简单、方便,输入的参数尽可能少,降低数控编程对编程人员过高要求,简化数控编辑,因而编程效率大大提高,并可避免许多人为错误,提高了编程质量. 相似文献
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Word文件自动管理系统的设计和实现 总被引:1,自引:0,他引:1
论述了研制新型文档自动管理系统的原因及其重要性,给出了系统的软件结构和文档自动管理系统的部分设计界面.重点介绍了大文本的读写、Microsoft Word 的控制、Word的感知、套打、数据库的连接等主要技术难点,使系统能够存放文档文件的所有信息,按权限管理,保证文档文件在查询和网络传递中操作简单、安全可靠. 相似文献