AN ADAPTIVE FUZZY RULE-BASED COLOR IMAGE SEGMENTATION ALGORITHM

被引：0
|
作者：
Wu, Songye [1 ]
Wu, Yundong [1 ]
Chen, Shuili [1 ]
Huang, Zhenkun [1 ]
机构：
[1] Jimei Univ, Sch Sci, Xiamen 361021, Fujian, Peoples R China
来源：
QUANTITATIVE LOGIC AND SOFT COMPUTING | 2012年 / 5卷
关键词：
Fuzzy rules; Similarity percentage; Self-adaption; Color image segmentation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we proposed an adaptive fuzzy rule-based color image segmentation algorithm. By using look-up table for designing a FIS (Fuzzy Inference System) to compute similarity percentage of the neighboring pixels and region feature histogram information, then we can use fast-merge for achieving a new color image segmentation algorithm. The experimental results show that our algorithm can produce good results compared to some existing algorithm.
引用
收藏
页码：394 / 401
页数：8
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