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弹箭与制导学报 >

2015 , Vol. 35 >Issue 4: 154 - 158

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.04.038

相关技术

基于图像复杂度的PCNN 边缘检测新算法

  • 王晓军 ,
  • 王崴 ,
  • 刘晓卫 ,
  • 周诚
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  • 1 空军工程大学防空反导学院, 西安 710051
    2 西安交通大学机械制造系统工程国家重点实验室, 西安 710049

王晓军(1990-), 男, 河南许昌人, 硕士研究生, 研究方向: 手势识别与图像处理.

收稿日期: 2014-10-13

  网络出版日期: 2025-05-26

基金资助

国家自然科学基金(51075395); 国家863计划课题(2013AA040604); 博士后基金(133798) 资助

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A Novel Algorithm for Edge Detection of PCNN Based on Image Complexity

  • WANG Xiaojun ,
  • WANG Wei ,
  • LIU Xiaowei ,
  • ZHOU Cheng
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  • 1 Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China
    2 State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Received date: 2014-10-13

  Online published: 2025-05-26

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摘要

针对脉冲耦合神经网络(PCNN)模型在数字图像处理中存在的参数庞大、自适应设置和迭代终止条件判定困难等问题,提出了一种基于图像复杂度的PCNN边缘检测新算法。该算法从PCNN数学模型出发,在保留模型同步脉冲发放特性和捕获特性的基础上,对模型进行了数学形式上的简化,减少了模型中参数的数量,同时结合图像复杂度提出参数自适应设置方法。经过实验论证,结果表明该算法能获得完整的图像边缘轮廓和细节,实现PCNN模型实用化、智能化.

关键词： PCNN 模型; 图像复杂度; 边缘检测; 参数自适应设置

本文引用格式

王晓军 , 王崴 , 刘晓卫 , 周诚 . 基于图像复杂度的PCNN 边缘检测新算法[J]. 弹箭与制导学报, 2015 , 35(4) : 154 -158 . DOI: 10.15892/j.cnki.djzdxb.2015.04.038

Abstract

In view of large group of parameters and difficulty in adaptive setting and termination decision in digital image based on pulse coupled neural network (PCNN) model, a novel algorithm for edge detection of PCNN based on image complexity was proposed. The form of mathematical equation has been simplified and the number of parameters has been reduced based on the characteristic of synchronization pulse emission and capture feature from mathematical model of PCNN. Meanwhile, the method of adaptive setting has been presented based on image complexity. The experimental results show that the novel algorithm could achieve complete image outline and the details for practicality and intelligence of PCNN model.

Key words： PCNN model; image complexity; edge detection; adaptive parameter setting

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