| 自适应OSTU算法在舰船边缘检测中的应用及其FPGA实现 |
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| 引用本文： | 李世文,李立聪.自适应OSTU算法在舰船边缘检测中的应用及其FPGA实现[J].教育技术导刊,2019,18(6):176-180. |
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| 作者姓名： | 李世文 李立聪 |
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| 作者单位： | 1.河源职业技术学院，广东 河源 517000； 2.深圳佳姆斯科技有限公司，广东 深圳 518110 |
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| 基金项目： | 广东省高等职业教育品牌专业建设项目（粤教高函（2016）114）；广东省河源市市级项目（170608090221295） |
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| 摘 要： | 针对舰船边缘信息检测实时性差、检测效果不佳等问题，通过选取适用于舰船边缘检测的数学形态运算与最大类间方差二值法的方法，并结合 FPGA并行处理能力，构建舰船边缘检测硬件平台。在该硬件平台上，采用FPGA对舰船目标相关算法进行硬件实现。从舰船图像处理结果分析可知，采用传统CPU进行算法处理需要约120ms，采用FPGA实现仅需21.2ms，采用FPGA加速后处理速度提高5倍以上，完全可满足实时性要求，因此该方法具有良好的应用前景。
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| 关 键 词： | FPGA OSTU 数学形态 边缘检测 |
| 收稿时间： | 2019-04-15 |
Application of Adaptive OSTU in Ship Edge Detection and Its Implementation on FPGA |
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| LI Shi-wen,LI Li-cong.Application of Adaptive OSTU in Ship Edge Detection and Its Implementation on FPGA[J].Introduction of Educational Technology,2019,18(6):176-180. |
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| Authors: | LI Shi-wen LI Li-cong |
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| Institution: | 1.Heyuan Polytechnic College，Heyuan 517000，China；2.Shenzhen Jiamusi Technology Co.，Ltd.，Shenzhen 518110，China |
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| Abstract: | In order to solve the problems of poor real-time performance and poor detection effect in ship edge information detection， this paper constructs a hardware platform for ship edge detection by choosing the methods of mathematical morphology operation and OSTU， and combining the parallel processing ability of FPGA. On this hardware platform， we use FPGA to implement the related algorithm of ship target. From our analysis of the results of ship image processing， it takes about 120ms to process the ship image using traditional CPU. It takes about 21.2ms to implement by using FPGA. The speed of post-processing accelerated by using FPGA is five times faster than traditional CPU， which can meet the real-time requirements and has broad application prospects. |
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| Keywords: | FPGA OSTU mathematical morphology edge detection |
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