大数据分析下船舶破碎尾迹图像自动识别技术

Automatic recognition technology of ship crusher wake image based on big data analysis

传统的船舶破碎尾迹图像自动识别技术在短时间内的识别清晰度很差,即使加大工作时间,识别的清晰度也不能达到100%,存在细节误差,为船舶航行埋下安全隐患。基于大数据分析研究了一种新的船舶破碎尾迹图像自动识别技术,技术模型由数据库、筛选技术、识别技术、计算机视觉等多种系统组成;通过检测、筛选、对比、识别完成整个过程。由实验结果可知,给出的自动识别技术对于船舶破碎尾迹识别清晰度最高可达到99%,最低也可以达到45%,清晰度远远高于传统技术,具有很好的发展前景。

The traditional recognition technology of ship crusher wake image recognition is very poor in a short time,increasing working time, and the resolution of recognition can not reach 100%, and there is detail error, which is a hidden danger for ship navigation. Based on large data analysis, a new automatic recognition technology of ship crusher wake image is developed. The technical model is composed of many systems, such as database, screening technology, recognition technology, computer vision and so on. The whole process is completed by detection, screening, contrast and recognition. It can be seen from the experimental results that the resolution of automatic recognition of the ship's broken wake can reach99%, the lowest can reach 45%, the definition is far higher than the traditional technology, and it has a good prospect.