首页> 外文会议>Conference on visualization and optimization techniques >Research of the Multi-Dimension High-Accuracy Sub-Pixel Subdivision Algorithm Based on TMS320C50
【24h】

Research of the Multi-Dimension High-Accuracy Sub-Pixel Subdivision Algorithm Based on TMS320C50

机译:基于TMS320C50的多维高精度子像素细分算法研究

获取原文

摘要

Based on the analysis on the bottleneck for improving CCD measurement resolving power in the high-accuracy image detection system, sub-pixel subdivision technology is presented. Through comparing the advantage and disadvantage of current subdivision algorithms, we propose a new one-dimension sub-pixel subdivision algorithm called Adaptive Weighing Fitting algorithm in the paper, which is suitable for such image as low contrast, low SNR and complex background. And we implement the real-time algorithm in the high-speed system platform based on TMS320C50. Then a fast two-dimension sub-pixel subdivision algorithm based on correlation feature and direction feature of image border is also discussed for improving the location accuracy of complex border. By many simulation experiments and practical detection in spot, the satisfied subdivision results are obtained.
机译:基于在高精度图像检测系统中提高CCD测量分辨率的瓶颈的分析,提出了子像素细分技术。通过比较电流细分算法的优势和缺点,我们提出了一种新的一维子像素细分算法,称为自适应称重拟合算法,其适用于这种图像作为低对比度,低SNR和复杂背景。并且我们基于TMS320C50实现高速系统平台的实时算法。然后还讨论了基于相关特征和图像边界的方向特征的快速二维子像素细分算法,用于提高复杂边界的位置精度。通过许多仿真实验和现场实际检测,获得满足的细分结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号