一种基于多智能体系统的边缘提取算法

Novel edge extraction algorithm based on MAS

提出了一种可行的多智能体系统实现架构,基于扩散梯度的边缘特征表示,将多智能体系统应用于边缘提取。算法根据个体智能体的简单机制,结合边缘位置的梯度外在表现,使每个智能体采用一定的策略进行边缘搜索,其中包括扩大范围、平移和位置突变。通过多智能体的共同努力,最终完成对边缘的提取。实验表明,该算法能够更为精确地搜索边缘位置,而且对噪声的影响不敏感。

A novel Multi-agent System （MAS） framework for edge extraction is proposed due to MAS having parallel operation Whiie＇ the individual agent being simple and easy to implement.The proposed algorithm is based on the description of the diffused gradient on the edge,and is appended some strategies included extending the scope,shifting and mutation of the individual agent for Searching the edge.After working together in MAS,agents extract edges effectively.Finally,it is proved in the experiment that the proposed algorithm brings more accurate edge extraction and less sensitivity to the noise.