基于图像挖掘技术的车辆目标识别方法

Vehicle target recognition method based on Image Mining Technology

摘要:

在目前的图像处理技术发展现状中,图像挖掘技术是其中一项较为突出和新颖的技术分支。而随着日益庞大的图像数据信息处理量的要求增加,却没有一个有效的分析和处理技术,为此,如何解决大量数据的解析和处理问题是目前图像挖掘技术的主要方向。本文将着重研究图像挖掘技术的原理和其在目前社会中的应用情况。利用简析图像挖掘技术的基本原理分析其数据模型,探讨其所具备的基本功能以及在车辆目标识别上的应用和方法。总结出图像挖掘技术对图像中所存在信息的完全解读,挖掘图像中存在的隐形关联,而且随着图像挖掘技术的不断改进,其目标识别的功能可以应用到车辆管理模式当中。通过实验表明,此方法可以对目标图像中车辆数量和种类的辨识度达到80%以上。

Abstract:

In the current development of image processing technology, image mining technology is one of the more prominent and innovative technology branch. With the increasingly large amount of image data processing requirements increase, there is no effective analysis and processing technology, so how to solve the problem of a large number of data analysis and processing is the main direction of the current image mining technology. This paper will focus on the principle of image mining technology and its application in the current society. Based on the analysis of the basic principle of image mining technology, the data model is analyzed, and the basic function of the data model is discussed. Summed up the image mining technology can fully interpret the existing image information, mining association contact in image, and with the improvement of image mining technology, the target recognition function can be applied to vehicle management mode. Experiments show that this method can achieve more than 80% of the number of vehicles and the number of vehicles in the target image.