A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the seg...A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex hackground and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.展开更多
自动导引车(Automatic Guided Vehicle,AGV)作为智能制造系统的重要组成部分之一,为智能制造系统提供柔性物料搬运,其无人化趋势已是必然。针对此,这里研究开发了基于同步定位与建图(Simultaneous Localization and Map⁃ping,SLAM)导航...自动导引车(Automatic Guided Vehicle,AGV)作为智能制造系统的重要组成部分之一,为智能制造系统提供柔性物料搬运,其无人化趋势已是必然。针对此,这里研究开发了基于同步定位与建图(Simultaneous Localization and Map⁃ping,SLAM)导航的堆垛垛式叉车AGV,提出了一种基于IEPF算法(Iterative End Point Fit,IEPF)以及最小二乘法的雷达点云线段提取方法,在此基础上,研究基于线段特征匹配的SLAM定位算法,并将设计的SLAM导航算法移植到试验车测试。测试结果表明这里设计的基于激光SLAM导航的堆垛式叉车AGV具有较好的稳定性,能够实现横向7mm、纵向13mm的定位误差,为无人叉车的研究提供了技术支撑。展开更多
文摘A fast interactive segmentation algorithm of image-sequences based on relative fuzzy connectedness is presented. In comparison with the original algorithm, the proposed one, with the same accuracy, accelerates the segmentation speed by three times for single image. Meanwhile, this fast segmentation algorithm is extended from single object to multiple objects and from single-image to image-sequences. Thus the segmentation of multiple objects from complex hackground and batch segmentation of image-sequences can be achieved. In addition, a post-processing scheme is incorporated in this algorithm, which extracts smooth edge with one-pixel-width for each segmented object. The experimental results illustrate that the proposed algorithm can obtain the object regions of interest from medical image or image-sequences as well as man-made images quickly and reliably with only a little interaction.
文摘自动导引车(Automatic Guided Vehicle,AGV)作为智能制造系统的重要组成部分之一,为智能制造系统提供柔性物料搬运,其无人化趋势已是必然。针对此,这里研究开发了基于同步定位与建图(Simultaneous Localization and Map⁃ping,SLAM)导航的堆垛垛式叉车AGV,提出了一种基于IEPF算法(Iterative End Point Fit,IEPF)以及最小二乘法的雷达点云线段提取方法,在此基础上,研究基于线段特征匹配的SLAM定位算法,并将设计的SLAM导航算法移植到试验车测试。测试结果表明这里设计的基于激光SLAM导航的堆垛式叉车AGV具有较好的稳定性,能够实现横向7mm、纵向13mm的定位误差,为无人叉车的研究提供了技术支撑。
