An Efficient Ant-Based Edge Detector

被引：0
|
作者：
Aydin, Dogan [1 ]
机构：
[1] Ege Univ, Dept Comp Engn, TR-35100 Izmir, Turkey
来源：
TRANSACTIONS ON COMPUTATIONAL COLLECTIVE INTELLIGENCE I | 2010年 / 6220卷
关键词：
Edge detection; ant-based algorithm; noisy images; ant colony optimization; COLONY OPTIMIZATION ALGORITHM; SEGMENTATION; IMAGES;
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：
An efficient ant-based edge detector is presented. It is based on the distribution of ants on an image, ants try to find possible edges by using a state transition function based on 5x5 edge structures. Visual comparisons show that the proposed method gives finer details and thinner edges at lesser computational times when compared to earlier ant-based approaches. When compared to standard edge detectors, it shows robustness to Gaussian and Salt & Pepper noise and provides finer details than others with same parameter set in both clear and noisy images.
引用
收藏
页码：39 / 55
页数：17
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