数据挖掘在无人船舶目标图像识别中的应用  

Application of data mining in image recognition of unmanned ship

作　　者：罗佳[1] LUO Jia(School of Information Technology,Guangdong Industry Polytechnic,Guangzhou 510300,China)

机构地区：[1]广东轻工职业技术学院信息技术学院,广东广州510300

出　　处：《舰船科学技术》2020年第4期49-51,共3页Ship Science and Technology

摘　　要：为了缩短无人船舶目标图像的识别时间,提高目标图像的质量,提出了数据挖掘在无人船舶目标图像识别中的应用。利用数据挖掘技术确定无人船舶目标图像的阈值,根据目标图像的阈值误差分割了目标图像,采用图像边缘点提取公式将图像边缘点连接成线,提取出目标图像的外轮廓,完成无人船舶目标图像的预处理;通过目标图像识别算法的改进设计,得到了目标图像的识别流程,实现了数据挖掘在无人船舶目标图像的识别中的应用研究。仿真实验结果表明,数据挖掘在无人船舶目标图像识别方法与基于航拍技术的目标图像识别方法相比,目标图像的识别时间缩短了35.1%。In order to shorten the recognition time and improve the quality of the target image,the application of data mining in the recognition of the target image is proposed.Using data mining technology to determine the threshold value of the target image of the unmanned vessel,according to the threshold error of the target image,the target image is segmented,the image edge points are connected into lines by the image edge point extraction formula,the outer contour of the target image is extracted,and the pretreatment of the target image of the unmanned vessel is completed;through the improved design of the target image recognition algorithm,the target image recognition is obtained The application of data mining in the recognition of target image of unmanned vessel is realized.The simulation results show that the recognition time of the target image is reduced by 35.1%compared with the target image recognition method based on aerial photography.

关 键 词：数据挖掘 无人船舶 目标图像 识别时间 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]