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中文摘要：
受Bastürk算法思想的启发,考虑多个邻域元素的影响,并采用完全稳定的细胞神经网络克隆模板设计方法,把1邻域扩展到2邻域和3邻域,将粒子群优化算法应用于模板学习。仿真实验表明,本算法不仅比经典的边缘检测算法更具优越性,而且比基于遗传算法和克隆选择算法的边缘检测效果更为有效,具有良好的应用前景
英文摘要：
Inspired by Bastürk’s thoughts,this paper considered the interaction among multiple cells,and adopted the met-hod of completely stable CNN cloning template design.Then it extended one neighbor to two and three neighbors,and also used particle swarm optimization（PSO） algorithm in template learning.Simulation results indicate that the proposed method is more superious than the classic edge detectors and more effectiveness than the edge detectors based on genetic algorithm and cloning selection algorithm,and has a good application prospect
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