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Description: 图像融合程序大全 （有图）包括IHS PCA 拉普拉斯 PCNN 小波 超好！-the total of image fusion (pictures)
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Description: 这是一个pcnn的程序，能够实现。是个比较不错的程序，希望对大家有用-This is a pcnn procedure can be realized. Is a relatively good program, we want to be useful
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Size: 1024 |
Author: 李英 |
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Description: 通过双通道PCNN来实现多源图像融合，算法简单易于实现-image fusion using dual channel PCNN
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Description: 基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in machine vision
systems. In this paper, we present a novel hybrid
feature extraction method using PCNN (Pulse Coupled
Neural Network) and shape information. First, we use
PCNN firing map train to formulate object’s time
signature, then we use roundness of each firing map to
formulate object’s shape information vector, the final
feature matrix we got is combined time signature and
roundness. We take correlations as our judge criteria
in our experiments. It has been proved that the
algorithm is not sensitivity with the rotation, scaling
and translation of the object and is a useful method for
target recognition applications.
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Size: 1024 |
Author: wangxiaofei |
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Description: 基本PCNN演算法，處理圖像的基本類神經網路。-Basic PCNN algorithm, the basic image processing and neural networks.
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Size: 4096 |
Author: 林小捲 |
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Description: PCNN模型用MATLAB算法实现，未简化版
-PCNN model using MATLAB algorithm, not Starter Edition
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Size: 1024 |
Author: liu |
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Description: 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
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Size: 1024 |
Author: liu |
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Description: 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.
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Size: 51200 |
Author: liu |
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Description: PCNN image processing neural network
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Size: 1024 |
Author: marko |
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Description: image processing using pc-image processing using pcnn
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Size: 4295680 |
Author: marko |
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Description: 基于PCNN的图像融合，用matlab编写实现的。-PCNN-based image fusion, written with matlab implementation.
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Size: 2048 |
Author: 杜建华 |
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Description: a simplified PCNN based on minimum cross entropy, can segment the images effectively
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Size: 1024 |
Author: Jiao Jing |
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Description: 基于侧抑制的图像分割，在ＰＣＮＮ分割的基础上实现-failed to translate
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Size: 90112 |
Author: alysa |
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Description: 耦合神经网络用于图像分类的资料，很不错，推荐给大家-Coupled neural network for image classification data, very good, recommend it to everyone
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Size: 464896 |
Author: lp |
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Description: 用脉冲耦合神经网络实现灰度图像的分割,基于matlab 6.5版本以上的开发环境-Using pulse coupled neural network segmentation of gray image
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Size: 2048 |
Author: 温长吉 |
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Description:
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Size: 320512 |
Author: jay |
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Description: 用Matlab实现人脸检测的功能，程序正确，可以运行，包含测试图片-Face detection using Matlab functions implement the program correctly, you can run, including the test images
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Size: 4132864 |
Author: 张旸 |
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Description: PCNN工具包,非常好用！-PCNN toolbox,very good!
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Size: 230400 |
Author: binfeng |
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Description: 本文根据脉冲耦合神经网络（PCNN）并行运行的特点，提出了基于PCNN 模型的迷宫最短路径搜索算法。
从理论上对该算法进行了分析和讨论，并给出了具体的算法和实验结果，验证了该方法的有效性。与其他算法相比，
该方法可以在最短的时间内完成最短路径的搜索。-Based on Pulse Coupled Neural Network (PCNN) run in parallel the characteristics of PCNN model is proposed based on the shortest path maze searching algorithm. In theory the algorithm is analyzed and discussed, and given a specific algorithm and experimental results verify the effectiveness of the method. Compared with other algorithms, the method can be completed within the shortest possible time the shortest path search.
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Size: 347136 |
Author: wangxx |
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Description: 本文在脉冲耦合神经网络(PCNN2Pulse Coupled Neural Network) 的基础上,提出了时延脉冲耦合神经网络
(DPCNN2Delay PCNN) ,并将其成功地用于求解最短路径,同时给出了基于DPCNN 的最短路径求解算法. Caulfield 与
Kinser 提出了用PCNN 求解迷宫问题的方法,虽然他们的方法也可用于求解最短路径,但所需神经元的数量巨大,而本
文的方法所需的神经元的数量远小于他们的方法. 同时,本文的方法充分利用了DPCNN 脉冲快速并行传播的特点,可
迅速地求出最短路径,其所需的计算量仅正比于最短路径的长度,与路径图的复杂程度及路径图中的通路总数无关.
计算机仿真结果表明,采用本文的方法,用少量的神经元就可迅速地求出最短路径.- This paper presents DPCNN(Delay Pulse Coupled Neural Network) based on PCNN and uses DPCNN to find the
shortest path successfully.Meanwhile ,the algorithmof finding the shortest path based on DPCNN is described. Caulfield and Kinser in2
troduced the PCNN method to solve the maze problem and although their method also can be used to find the shortest path ,a large
quantity of neurons are needed. However ,the approach proposed in this paper needed very fewer neurons than proposed by Caulfield
and Kinser. In the meantime ,due to the pulse parallel transmission characteristic of DPCNN ,the approach proposed can find the short2
est path quickly. The computational complexity of our approach is only related to the length of the shortest path , and independent to
the path graph complexity and the number of existing paths in the graph. The results of computer simulations show that by using the
approach proposed in this paper ,we can use a small quantity of neurons to find the shortest p
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Size: 102400 |
Author: wangxx |
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