摘要
分析了传统的图像灰度分布的标准化算法 ,针对其缺陷进行了一些改进 ,并归并为“聚集算法” .提出了这些算法的评价方法 ,并通过实验结果证实了算法改进方式的合理性 .
In this paper, the traditional normalization algorithm of image greyscale distribution is analyzed and some improvements according to its shortcomings are made. These improvements are added to the traditional theory, then a new theory called 'congregation algorithm' is established. Methods of evaluations for these algorithms are also designed and the experimental results support the rationality of the improvements.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2002年第1期17-21,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
广东省自然科学基金资助项目 (980 6 0 3)
教育部高等学校骨干教师资助计划资助项目
教育部高等学校优秀青年教师教学科研奖励计划资助项目~~
