海量影像数据的组织及漫游实现

在工业应用中,往往需要对各种工作器件进行扫描,拍摄图像检查其缺陷情况,从而了解器件的使用情况。但是对于在某些场合使用的器件,例如煤矿运输中的运送带,其长度可达几公里,利用扫描仪对运送带扫描通常是扫描一行写一次数据,得到的是纯数值的文件,而且一般分段存放整条运送带,我们需要把各段数据解析成图像文件再组织起来,如果简单地把文件数据重新生成一张图像数据大小可达几G甚至更大,当浏览图像或缩放时使用传统的方法速度都比较慢,这样对于运送带的检查带来很大不便。文章针对这种海量影像数据提出一种XML形式的组织方法,并通过分块读取方式对图像进行漫游显示,可以实现对海量影像数据的快速浏览。

Organization and the Roaming Implementation of Massive Image Data

In coal mining industry,conveyor belts of the coal are often examined.The actual data processing can be rather slow and cumbersome if all data in each segment merged on one single image,resulting in an overloaded file size.In this paper,the authors aim to propose a new organized method of massive image data processing in conveyer belts examination,based on XML.Thes method,which focuses on organizing and merging of scanned data from eash segment,and a roamint fashioned displaying of final images through block reading,can provide great convenience to conveyor belt examining with its effective management of scanned data and quick view of the massive image data.