摘要
针对多值图像或栅格型空间数据的四叉树存储方法,提出了一种基于优势属性存储的改进四叉树结构———优势四叉树,给出了实现自底向上的优势四叉树递归构建算法,并对不同规模和复杂度的多幅图像进行了构树对比实验。结果表明,本文提出的优势四叉树结构大幅度缩减了结点总数,存储开销平均为线性四叉树编码的69%,并具有较高的构建效率,是一种具有应用前景的四叉树结构。
An improved quadtree structure based on storing ascendant attribute is proposed, which is called ascendant quadtree. A recursion algorithm of constructing ascendant quadtree that implement a bottom-up process is also presented. A lot of experiments were carried out to demonstrate the memory-efficiency and algorithm advantages of the proposed method. The results for different scales and different complexities show that the proposed quadtree structure can obviously reduce the total of nodes and has a 69% compression improvement compared with the constant bit-length linear quadtrees, and has a better practical value and application prospect,
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第6期663-666,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40401046
40501053)
关键词
四叉树
优势属性
栅格图像
数据结构
特征模板
quadtree
ascendant attribute
raster image
data structure
feature template
