摘要
本文提出了在分层六角网格中基于像素灰度实现边缘检测的边缘点确定算法和边缘构造算法。文中首先介绍了六角网格结构的优势和1∶3面积比、1∶4面积比两类六角网格金字塔,而后给出了相应的实验论证。实验结果显示应用六角网格金字塔的算法对图像数据中的缝隙与噪声具有鲁棒性,1∶4面积比六角金字塔在边缘检测中优于1∶3面积比金字塔。
In this paper we present algorithms for determining edge points and for constructing boundaries in a hexagonal neighborhood based on pixel gray-level within a pyramid of hexagonal pixel grids. We first introduce advantages of hexagonal grid structure over square grid structure and triangular grid structure, and 1-to-3 area ratio and 1-to-4 area ratio hexagonal pyramids, and then give out corresponding experimental demonstrations. The results show that the algorithms using hexagonal pyramid are robust to gaps and noise in the image data. Besides, boundary detection in a 1 to- 4 area ratio hexagonal pyramid is better than in a 1-to-3 area ratio pyramid.
出处
《计算机科学》
CSCD
北大核心
2007年第2期242-249,共8页
Computer Science
基金
中国博士后科学基金资助(编号:2005037260)
关键词
六角网格
金字塔
像素友度
边缘检测
机器视觉
Hexagonal grid, Pyramid, Gray level, Edge detection, Machine vision
