Skeletonization Using Fuzzy Distance Transform for Diffuse Reflection Structured Light
文献类型：会议论文
| 作者 | Sheng Huang; Guoyuan Liang; Kang Li; Can Wang; Xinyu Wu |
| 出版日期 | 2016 |
| 会议名称 | IEEE International Conference on Information and Automation(ICIA) |
| 会议地点 | 中国宁波 |
| 英文摘要 | Many indoor navigation robots use structured light vision measurement systems (SLVMS) for mapping, localization, and obstacle avoidances. In these systems, the extraction of light stripe skeleton directly affects the accuracy of the final measurements. One of the problems in SLVMS is that when the light is projected to some rough surface it will cause strong diffuse reflection. Thus the light stripe captured by the camera contains more or less fuzzy parts. The uncertainty of diffusion pattern and distribution seems to be a great challenge for conventional skeletionization extraction methods. In this paper we proposed a skeletonization algorithm based on fuzzy distance transform (FDT)for the tricky fuzzy light stripe, which, to some extent, overcomes the disadvantage of existing methods and leads to better skeleton representation. First we introduce the principal methods for skeletonization and the theory of FDT. Then, the image preprocessing method together with the extended FDT algorithm are elaborated. Finally, some example results are shown to demonstrate the effectiveness of our algorithm, followed by the comparison with three other skeletonization methods which are based on distance transform(DT) theory, Voronoi diagram and the principle of digital morphological erosion respectively. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10142]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Sheng Huang,Guoyuan Liang,Kang Li,et al. Skeletonization Using Fuzzy Distance Transform for Diffuse Reflection Structured Light[C]. 见:IEEE International Conference on Information and Automation(ICIA). 中国宁波. |
入库方式： OAI收割
来源：深圳先进技术研究院
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