基于算法评价的分割算法优化思想及其系统实现
EVALUATION-BASED OPTIMALIZATION AND ITS SYSTEM REALIZATION FOR SEGMENTATION ALGORITHMS
-
摘要: 本文提出了一种基于算法评价知识的图象分割算法优化思想,并以该思想为基础设计实现了一个分割算法优化专家系统。从实验结果看,这种思想是可行的并且是实用的。这也为优化不同的图象处理和分析算法提供了一种有效的方案。Abstract: In this paper, a novel idea for optimization of image segmentation algorithms based on algorithm evaluation is proposed. According to this idea, a segmentation expert system is designed and realized. Experimental results show that such an idea is feasible and such a system is workable. This also provides an effective way for the optimization of various image processing and analysis algorithms.
-
章毓晋.图象分割评价技术分类和比较.中国图象图形学报,1996, 1(2): 151-158.[2]Nazif A, Levine M. Low-level image segmentation: An expert system. IEEE Tans. on PAMI,[3]84, PAMI-6(5): 555-577.[4]Matsuyama T. Expert system for image processing: Knowledge-based composition of image analysis processes. CVGIP, 1989, 48(1): 22-49.[5]章毓晋.一种评价图象分割的新方法.模式识别与人工智能,1994, 7(4): 99-304.[6]罗惠韬,章毓晋.一个图象分割评价实例及讨论.数据采集与处理,1997, 12(1): 18-22.[7]Clement V, Thonnat M. A knowledge-based approach to integration of image processing procedures. CVGIP, 1993, 57(2): 166-184. -
计量
- 文章访问数: 1916
- HTML全文浏览量: 94
- PDF下载量: 671
- 被引次数: 0
下载:
