舰船图像颜色特征目标自动采集系统视觉优化  

Visual optimization of ship image color feature target automatic acquisition system

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作  者:张洪波[1] ZHANG Hong-bo(Zhengzhou Institute of Science and Technology,Zhengzhou 450064,China)

机构地区:[1]郑州科技学院,河南郑州450064

出  处:《舰船科学技术》2023年第10期180-183,共4页Ship Science and Technology

摘  要:船舶遥感图像的识别技术在军事、民用领域的应用潜力非常大,船舶遥感领域的遥感卫星、计算机处理器等硬件设备获得了迅速发展,而图像过滤、特征识别等软件技术亟需提升。本文分别从图像滤波、图像聚类算法、图像分割等方面进行研究,结合C++编程语言,在Microsoft Visual Studio 2010平台上开发了船舶图像颜色特征目标自动采集系统,取得了良好的效果。The application potential of ship remote sensing image recognition technology in military and civilian fields is very large,and the technology has also won the attention of researchers at home and abroad,and the hardware equipment such as remote sensing satellites and computer processors in the field of ship remote sensing has developed rapidly,and software technologies such as image filtering and feature recognition also need to be improved.In this paper,the automatic acquisition system of ship image color feature targets is developed on the Microsoft Visual Studio 2010 platform in combination with image filtering,image clustering algorithm,image segmentation,etc.,and good results are achieved.

关 键 词:遥感图像 自动采集 滤波 聚类算法 

分 类 号:TP301[自动化与计算机技术—计算机系统结构]

 

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