摘要
提出了一种新的模型——规则树来进行图像关联规则的分层次提取。还提出了规则树的截断、半深度优先、图像掩模和分层次灰度范围自动生成等优化技术,降低了算法的时间和空间复杂度,使其具有较高的实用价值。
This paper proposes a new model rule tree to derive layered image association rules. Moreover, it proposes several optimization technologies such as truncation of rule tree, semi-depth priority, image mask, automatically creating layered grey value range and etc, which can reduce both the time and the space complexity of the algorithm, and makes it more valuable.
出处
《计算机工程》
EI
CAS
CSCD
北大核心
2005年第11期85-87,共3页
Computer Engineering
基金
湖北省自然科学基金资助项目(2003ABA043)
