计算机视觉在内河船舶目标监测技术的应用

Application of computer vision in inland ship target monitoring technology

随着经济的迅速发展,我国大力发展内河航运,内河航运是内陆与沿海地区货运贸易的重要桥梁。船舶的载重吨位和航行速度有极大提升,同时也提高了船舶事故的发生概率。针对这一问题,本文利用计算机视觉技术对内河船舶进行监测、导航和预警。本文详细介绍了图像的颜色模型和灰度化公式,研究图像去噪的主要方法。利用帧间差分法分离背景和目标,并对前景图像进行形态学处理,识别船舶目标。

With the rapid development of economy, China has greatly developed inland river shipping, and inland waterway transportation is an important bridge for inland and coastal freight trade. The ship's deadweight tonnage and sailing speed have been greatly improved, and the probability of ship accidents has also been increased. To solve this problem, this paper uses computer vision to monitor and warn the inland river ships. In this paper, the color model and gray formula of image are introduced in detail, and the main methods of image denoising are studied. The frame difference method is used to separate the background and the target, and the foreground image is processed by morphology to identify the ship target.