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1)  vector PCNN
矢量型脉冲耦合神经网
2)  pulse-coupled neural network model
脉冲耦合神经网络模型
3)  pulse coupled neural network
脉冲耦合神经网络
1.
Edge detection based on pulse coupled neural network and morphology;
基于脉冲耦合神经网络和形态学的边缘检测
2.
Pathologic region detection algorithm for ultrasonic image based on pulse coupled neural network;
基于脉冲耦合神经网络的超声图像病理区域检测算法
3.
The Research and Applying of Pulse Coupled Neural Network for Fingerprint Images Processing;
脉冲耦合神经网络在指纹图像处理中的研究与应用
4)  pulse-coupled neural networks
脉冲耦合神经网络
1.
The algorithm that segments images with pulse-coupled neural networks(PCNN) and two-dimension maximum correlation criterion(MCC) was presented.
提出了一种脉冲耦合神经网络和最大相关准则相结合的算法来对图像进行分割。
2.
In this paper a method to enhance image by Pulse-Coupled Neural Networks is presented,which makes the edge of image more clear,and an edge detection is performed on both original image and enhanced image to testify the results.
该文提出了一个通过脉冲耦合神经网络来增强图像,使图像的边缘变得更清晰的方法,并用边缘检测算子对其结果进行了验证。
3.
Focusing on infrared and visible image fusion of the same scene,a new image fusion algorithm based on nonsubsampled contourlet transform(NSCT)and improved pulse-coupled neural networks(IPCNN)was proposed.
针对同一场景的红外与可见光图像融合,提出了一种基于非采样Contourlet变换(NSCT)和改进的脉冲耦合神经网络(IPCNN)的图像融合新算法。
5)  pulse coupled neural network(PCNN)
脉冲耦合神经网络
1.
A new image segmentation way based on maximum entropy and pulse coupled neural network(PCNN) was proposed,in order to solve the problem of determining the optimal result and solving the nonlinear factor of pulse threshold.
针对脉冲耦合神经网络(PCNN)无法确定最优分割以及脉冲门限具有非线性因子的问题,提出了一种基于最大熵和脉冲耦合神经网络的新型图像分割算法。
2.
An innovative method for classifying emotional states of neutral or happy of Chinese phonetics by using Pulse Coupled Neural Network(PCNN)was proposed.
针对汉语语音情感识别问题,提出了一种基于脉冲耦合神经网络(PCNN)的识别方法。
3.
Concerning the characteristics of complex components of irregular images and random alignment of irregular spot without proper fitting mathematics model,an adaptive segmentation algorithm with improved Pulse Coupled Neural Network(PCNN)was proposed in the paper.
针对不规则图像成分复杂、特征形状无法采用经典模型拟合等问题,提出了基于改进型脉冲耦合神经网络(PCNN)的自适应分割算法。
6)  PCNN
脉冲耦合神经网络
1.
New Algorithm of Live Wire Based on PCNN Simulation Research;
基于脉冲耦合神经网络的Live wire新方法的仿真研究
2.
An Image Segmentation Method Based on PSO Algorithm and PCNN;
基于微粒群算法和脉冲耦合神经网络的图像分割算法
3.
Image Enhancement Based on an Improved PCNN;
基于改进型脉冲耦合神经网络的图像增强
补充资料:矢量
即“向量①”(51页)。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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