船舶自动识别系统中的计算机视觉技术应用

Application of computer vision technology in automatic identification system of ships

受环境等外部因素的影响,利用自动识别系统对船舶身份进行识别,存在识别不准确的问题,为解决这一问题,研究者们将计算机视觉技术应用其中,以期改善系统的识别效果。在此背景下,首先对船舶自动识别系统与计算机视觉技术进行分析,然后具体探讨计算机视觉技术在船舶自动识别系统中的应用过程,包括图像采集、图像预处理、图像定义与分割、字符识别等4项内容;最后通过实验对应用效果进行验证,结果表明:应用了计算机视觉技术的船舶自动识别系统较未应用前,数字识别准确性提高14.3%,汉字识别准确性提高12%,识别效果改善,由此证明计算机视觉技术对改善船舶自动识别系统性能有帮助作用。

Influenced by external factors such as environment, there is a problem of inaccurate identification by using automatic identification system. To solve this problem, researchers apply computer vision technology in order to improve the recognition effect of the system. In this context, firstly, the ship automatic recognition system and computer vision technology are analyzed, and then the application process of computer vision technology in ship automatic recognition system is discussed in detail, including image acquisition, image preprocessing, image definition and segmentation, character recognition and so on. The results show that the accuracy of digital recognition and Chinese character recognition is improved by 14.3% and 12% respectively, and the recognition effect is improved. It proves that computer vision technology is helpful to improve the performance of ship automatic recognition system.