基于灰关联分析的舰船障碍物自动识别系统
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摘要
传统舰船障碍物识别系统的连接响应效率过低,且识别结果的准确性始终达不到预期标准。为解决上述问题,引入灰关联分析法则,设计新型舰船障碍自动识别系统。通过识别判断窗建立、障碍物图像分割模块设计两个步骤,完成新型系统的硬件运行环境搭建。在此基础上,通过自动识别准则确立、障碍物完整性判断、自动识别算子提取3个步骤,完成新型系统的软件运行环境搭建,结合软、硬件运行环境,实现基于灰关联分析舰船障碍自动识别系统的顺利运行。对比实验结果表明,与传统系统相比,新型舰船障碍自动识别系统的连接响应效率提升明显,识别结果准确度最大值接近90%。
The connection response efficiency of traditional ship obstacle recognition system is too low, and the accuracy of recognition results can not meet the expected standards. In order to solve the above problems, a new ship obstacle recognition system is designed by introducing the grey relational analysis rule. The hardware running environment of the new system is built through two steps: the establishment of recognition judgment window and the design of obstacle image segmentation module. On this basis, through the establishment of automatic identification criteria, obstacle integrity judgment and automatic identification operator extraction, the software operating environment of the new system is built, and combined with the software and hardware operating environment, the smooth operation of the automatic identification system of ship obstacles based on grey relational analysis is realized. Compared with the traditional system, the experimental results show that the connection response efficiency of the new ship obstacle automatic recognition system is improved obviously,and the maximum accuracy of the recognition results is close to 90%.
The connection response efficiency of traditional ship obstacle recognition system is too low, and the accuracy of recognition results can not meet the expected standards. In order to solve the above problems, a new ship obstacle recognition system is designed by introducing the grey relational analysis rule. The hardware running environment of the new system is built through two steps: the establishment of recognition judgment window and the design of obstacle image segmentation module. On this basis, through the establishment of automatic identification criteria, obstacle integrity judgment and automatic identification operator extraction, the software operating environment of the new system is built, and combined with the software and hardware operating environment, the smooth operation of the automatic identification system of ship obstacles based on grey relational analysis is realized. Compared with the traditional system, the experimental results show that the connection response efficiency of the new ship obstacle automatic recognition system is improved obviously,and the maximum accuracy of the recognition results is close to 90%.
引文
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