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- 2017
一种改进的细胞神经网络图像边缘提取方法
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Abstract:
摘要 目的: 为了进一步提高细胞神经网络的处理速度,减少计算的迭代次数.方法: 首先对细胞神经网络模型的输出函数进行改进,并对模板的取值范围进一步确定.其次,用反应扩散方程来改进阈值,并融入了图像梯度信息和构造的调整函数,使其可以自动根据图像的梯度生成一个扩散矩阵,自适应地为每一个像素点选取不同的阈值.结果: 图像处理的运行时间和迭代次数都减少了一半,图像边缘提取的结果更加精确.结论: 用此方法选取2种不同类型的图像进行MATLAB仿真,与几种常用的边缘提取算法处理结果相比,在视觉效果上取得了很大提升,并提高了边缘提取的效率和准确性.
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