搜索资源列表
pcnn
- 这是pcnn用于边缘检测的matlab源代码，希望对大家有用。-edge detection for the Matlab source code, we hope that the right useful.
pcnn
- 脉冲耦合神经网络(PCNN)用matlab的实现
PCNN 椒盐噪声去除
- 利用PCNN进行噪声去除，效果还可以。
PCNN_toolbox.rar
- 该程序是我用在图像融合中的脉冲耦合神经网络(PCNN)的代码，希望对各位有用。欢迎访问http://quxiaobo.go.8866.org or http://quxiaobo.blog.edu.cn,The program that I used in image fusion of Pulse-Coupled Neural Network (PCNN) code, in the hope that useful. Welcome to http://quxiaobo.go.8866.org
pcnn.rar
- 在MATLAB上编写的PCNN去除噪声的程序,Prepared in MATLAB on PCNN noise removal procedure
PCNN.rar
- 这是一些关于PCNN进行图像分割的Matlab程序,里面包括全部人子函数.请站长开通我的帐号,我有一个重要程序要下.谢谢!,err
pcnn
- MATLAB环境下，基于脉冲耦合神经网络（pcnn）的图像分割-MATLAB environment, using pulse coupled neural network (pcnn) image segmentation
pcnnimwrite
- 去除脉冲噪声：中值滤波，均值滤波，PCNN滤波的比较，包括计算噪声图像的信噪比，matlab算法程序。-Remove impulse noise: median filter, mean filter, PCNN filter comparison, including the calculation of noise, the SNR, matlab algorithm program.
pcnn
- 脉冲偶合神经网络除去噪声算法,效果不错 不错 -Pulse coupled neural network algorithm to remove noise
PCNN
- 利用改进的脉冲神经网络完成灰度图像的分割-The use of impulsive neural networks to improve the completion of gray-scale image segmentation
pcnnmm
- pcnn与图形学结合处理脉冲噪声的程序，效果不错。-Graphics pcnn combination with procedures to deal with impulse noise, good effect.
PCNN1
- PCNN模型用MATLAB算法实现，未简化版 -PCNN model using MATLAB algorithm, not Starter Edition
SPCNN
- 基于简化的PCNN去除脉冲噪声的matlab算法-Based on a simplified PCNN algorithm to remove impulse noise matlab
53607926pcnn
- PCNN image processing neural network
Image.Processing.Using.Pulse.Coupled.Neural.Netwo
- image processing using pc-image processing using pcnn
PCNN_large_arrange
- 基于PCNN的图像融合，用matlab编写实现的。-PCNN-based image fusion, written with matlab implementation.
pcnn2
- a simplified PCNN based on minimum cross entropy, can segment the images effectively
PCNN
- 基于PCNN的图像灰度增强，我做毕业设计的时候的东西。-Grayscale image enhancement based on PCNN
pcnn
- 用MATLAB实现基于PCNN的图像分割-PCNN with MATLAB-based image segmentation
PCNN（脉冲耦合神经网络）
- 将PCNN（脉冲耦合神经网络）用于图像融合，以红外光强与偏振图像的融合作为例子。(PCNN (pulse coupled neural network) is applied to image fusion, taking the fusion of infrared and polarization images as an example.)