摘要
为了提高目标统计的速度和准确度,提出了一个基于LabVIEW(laboratory virtual instrument engineering workbench)和IMAQ(image acquisition)Vision软件包的目标统计系统。其基本思想是首先对采集到的目标图像二值化,然后依次利用移除小目标、腐蚀以及分离目标模块将图像中的粘连目标分离,并尽可能保留残缺目标细节,最后通过统计模块实现目标数量统计。实验结果表明该目标数量统计系统具有较好的实时性和准确性。
A new objects statistical system based on LabVIEW（ laboratory virtual instrument engineering workbench） and IMAQ（ image acquisition） Vision is presented, in terms of improving the speed and veracity. In this approach, the visual statistic is composed of five main modules： binarization, moving small objects, eroding, separating objects and statistic. First of all, binarization module is used to reduce the complexity of statistic. Secondly, moving small objects, eroding and separating objects are employed in turn to disconnect conglutinative objects and preserve misshapen objects. Finally, statistic module is used to acquire the number of objects in an image. The experimental results demonstrate the effectiveness and robustness of this approach.
出处
《测控技术》
CSCD
2007年第5期32-33,54,共3页
Measurement & Control Technology
基金
江苏省教育厅自然科学研究计划资助项目(05KJB460036)
