期刊论文

An Improving Image Boundary Tracking Algorithm Based on Eight Neighborhood

中文

测绘通报

0494-0911

2018

12

21-25

10.13474/j.cnki.11-2246.2018.0451

41671395:国家自然科学基金 51574132:国家自然科学基金 201813988006Y:江苏省高等学校大学生创新项目

本校为其他机构

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。

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,t...