测绘通报 ›› 2018, Vol. 0 ›› Issue (12): 21-25.doi: 10.13474/j.cnki.11-2246.2018.0451

• 学术研究 • 上一篇    下一篇

一种八邻域图像边界追踪改进算法

胡晋山1, 康建荣1, 张琪1, 刘鹏程2, 朱铭达3   

  1. 1. 江苏师范大学地理测绘与城乡规划学院, 江苏 徐州 221116;
    2. 华中师范大学城市与环境科学学院, 湖北 武汉 430079;
    3. 江苏师范大学科文学院, 江苏 徐州 221116
  • 收稿日期:2018-08-12 出版日期:2018-12-25 发布日期:2019-01-03
  • 作者简介:胡晋山(1973-),男,博士,副教授,主要研究方向为地理信息系统理论与开发。E-mail:xzjshu@163.com
  • 基金资助:
    国家自然科学基金(41671395;51574132);江苏省高等学校大学生创新项目(201813988006Y)

An Improving Image Boundary Tracking Algorithm Based on Eight Neighborhood

HU Jinshan1, KANG Jianrong1, ZHANG Qi1, LIU Pengcheng2, ZHU Mingda3   

  1. 1. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China;
    2. College of Urban and Environment Science, Huazhong Normal University, Wuhan 430079, China;
    3. Kewen College, Jiangsu Normal University, Xuzhou 221116, China
  • Received:2018-08-12 Online:2018-12-25 Published:2019-01-03

摘要: 针对传统的边界追踪算法主要用来提取环形封闭边界的局限性,提出了基于八邻域目标边界追踪改进算法,着重解决了图像追踪过程中边界重叠部位的内外边界标定与"孤岛"处理。应用本文算法与摩尔邻域边界追踪算法分别对MPEG7-CE图形库中的4幅图像进行边界提取测试,结果表明改进算法提取结果正确。最后将本文算法应用于北极冰雪图像海冰边界提取,试验结果表明改进的算法可以有效提取大范围具有复杂拓扑关系的图像边界。

关键词: 二值图像, 八邻域, 边界追踪, 终止准则, 拓扑关系

Abstract: Aiming at the limitation of traditional boundary tracking algorithms which are mainly used to extract annular closed boundary, an improved boundary tracking algorithm based on eight neighborhood targets is proposed, which focuses on the internal and external boundary calibration and "solated island" processing in image tracking. The proposed algorithm and the Moore neighborhood boundary tracking algorithm are used to test the four images in the MPEG7-CE image library respectively. The results show that the improved algorithm is correct. Finally, the algorithm is applied to the sea ice extraction of the Arctic snow image. Experimental results show that the improved algorithm can effectively extract large range of image boundaries with complex topological relationships.

Key words: binary image, eight neighborhood, boundary tracking, Termination criteria, topology relations

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