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基于TMS320C6713B的阈值分割与目标形心获取算法研究
引用本文:逯新华. 基于TMS320C6713B的阈值分割与目标形心获取算法研究[J]. 电子测量技术, 2009, 32(7): 139-141,175
作者姓名:逯新华
作者单位:西北工业大,学自动化学院,西安,710072
摘    要:本文针对嵌入式跟踪系统中目标图像处理时存在的算法复杂,处理速度慢,达不到实时性的缺点,提供了一种用TMS320C6713B实现对图像的阈值分割与目标的形心获取算法,即采用灰度平均值与最大类间方差法相结合的方法实现视频图像的阈值分割,只要选取合适的修正值,则既能满足系统的实时性要求又能实现对目标的检测;采用了对目标形心求取以定位目标,进而计算出视场中心与目标形心的偏差,作为系统控制算法的输入;实验证明,该算法很好的实现了图像的阈值分割,较精确的获取了目标形心,提高了图像的处理速度,实现很高的实时性。

关 键 词:TMS320C6713B  阀值分割  形心获取

Research on threshold segmentation and poid captruing of object algorithm based on TMS320C6713B
Lu Xinhua. Research on threshold segmentation and poid captruing of object algorithm based on TMS320C6713B[J]. Electronic Measurement Technology, 2009, 32(7): 139-141,175
Authors:Lu Xinhua
Affiliation:School of Automatic Control;Northwestern Polytechnical University;Xi'an 710072
Abstract:In this paper,a threshold segmentation and poid capturing of object algorithm based on TMS320C6713B is presented in order to improve complexity of algorithm and processing speed,meet the request for real time.In the threshold segmentation,Average gray and Otsu method are adopted to realize the threshold segmentation of video image and as soon as appropriate correct value is selected,it will meet the real time of system and achieve the detection of object;At the same time,the poid of object is calculated to ...
Keywords:TMS320C6713B  threshold segmentation  poid capturing  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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