一种基于视皮层神经元模型的彩色图像签名算法

计算机科学 ›› 2015, Vol. 42 ›› Issue (Z11): 189-191.

一种基于视皮层神经元模型的彩色图像签名算法

寇光杰,马云艳,岳峻,邹海林

鲁东大学信息与电气工程学院烟台264025,鲁东大学数学与统计学院烟台264025,鲁东大学信息与电气工程学院烟台264025,鲁东大学信息与电气工程学院烟台264025

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金项目(61170161,2,61100115),山东省科技发展计划项目(2012YD01056),山东省自然科学基金项目(ZR2012FM008),鲁东大学博士基金项目(LY201222,LY2013001)资助

Color Image Signature Algorithm Based on Visual Cortex Neuron Model

KOU Guang-jie, MA Yun-yan, YUE Jun and ZOU Hai-lin

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 针对彩色图像签名问题进行了研究,基于哺乳动物视皮层神经元工作原理,提出了一种三通道脉冲发放皮层模型TSCM(Triple-Channel Spiking Cortical Model),实现了对彩色图像不变性特征的有效提取。TSCM模型不但具有常规脉冲耦合神经网络签名算法的平移、旋转、缩放不变性,而且算法更加简洁高效,对于噪声影响具有更强的鲁棒性。实验仿真结果验证了该算法的有效性。

关键词: 脉冲发放皮层模型,脉冲耦合神经网络,彩色图像签名,视皮层神经元

Abstract: After studying the color image signature problem,a triple-channel spiking cortical model(TSCM)was proposed based on the working principle of mammalian visual cortex neuron model.The invariant characteristics of color image can be extracted effectively by TSCM.On the one hand,TSCM has the properties of ordinary pulse coupled neural network,such as invariances of translation,rotation,and scale.On the other hand,TSCM has more robust characteristics when it faces with the noise.At the same time,the algorithm is more compact and efficient.In the end,the effectiveness of TSCM was proved by the results of experiment and simulation.

Key words: Spiking cortical model,Pulse coupled neural network,Color image signature,Visual cortex neuron

寇光杰,马云艳,岳峻,邹海林. 一种基于视皮层神经元模型的彩色图像签名算法[J]. 计算机科学, 2015, 42(Z11): 189-191. https://doi.org/

KOU Guang-jie, MA Yun-yan, YUE Jun and ZOU Hai-lin. Color Image Signature Algorithm Based on Visual Cortex Neuron Model[J]. Computer Science, 2015, 42(Z11): 189-191. https://doi.org/

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