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

页码：394 / 401

页数：8

共 8 条

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