搜索资源列表
pcnn的matlab实现
- pcnn的matlab实现，pcnn神经网络主要用于图像去噪分割等,the realization of the matlab PCNN, pcnn neural network used mainly for segmentation, such as image denoising
MATLAB.rar
- 基于自组织神经网络数据及图像处理，在图像分割中应用极强。很好的源程序。 ,Self-organizing neural network-based data and image processing, image segmentation in the application of highly. Very good source.
Matlab_Classification_based_on_BP
- 基于BP神经网络的遥感图像分类代码。从样本中提取崇明岛东滩十种地物的光谱特征，并训练BP网络，再利用网络进行分类-BP neural network-based remote sensing image classification code. Extracted from samples of 10 kinds of Chongming Island, Dongtan features of the spectral characteristics and to train BP networ
BP
- 继续神经网络编程，bp算法，delphi 2005下编译通过-Continue to neural network programming, bp algorithm, delphi 2005 under the compiler through
TuXiangShiBie
- 该软件需用Delphi7设计，采用灰度共生矩阵的方法对肝脏超声图像进行纹理特征提取。通过神经网络进行分类处理。-The software required Delphi7 design, the use of gray-scale co-occurrence matrix method of liver ultrasound image texture feature extraction. Through the neural network classification.
clustering
- 图像聚类程序源码，运行正常，能实现数字图像、图形的聚类；同时，还采用了多种方法实现，有距离法，神经网络法等，值得参考-Image source clustering procedures, operating normally, to achieve digital images, graphics cluster At the same time, also adopted a number of ways to achieve, a far cry from the law, such a
pcnn
- 基于脉冲耦合神经网络的图像分割，脉冲耦合神经网络是近年研究的热点。-Based on Pulse Coupled Neural Network for Image Segmentation, pulse coupled neural network is the research hotspot in recent years.
pciidenoise
- ％通过耦合神经网络结合中值滤波实现图像的降噪源代码- Through the combination of coupled neural network filtering image noise source code
Geneticalgorithm
- 传算法的基本原理、设计方法及其并行实现，以及它在组合优化、机器学习、图像处理、过程控制、进化神经网络-Propagation algorithm of the basic principles, design methods and their parallel implementation, as well as in combinatorial optimization, machine learning, image processing, process control, evoluti
PR_AI_code
- 这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognitio
program
- 基于神经网络的人脸图像识别程序。 使用MATLAB完成的。-Based on neural network image recognition procedures face.
BP
- 利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。-The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network trainin
ann
- matlab入门教程简单与详细版本、matlab神经网络源程序工具箱 、turbo码的c语言和matlab仿真程序 加州大学一博士写的基于sift的图像匹配源代码,.rar-matlab simple and detailed version of the Getting Started tutorial, matlab neural network toolbox source code, turbo codes in c language and matlab simulation prog
Linear-matrix-neural-network
- 线性神经网络的MATLAB程序编写，实现神经网络功能-Linear-matrix-neural-network
Featureextractionforcomputervisionbasedfiredetecti
- 火灾视觉特征的提取是视觉火灾探测中的关键问题. 我们主要研究色彩、纹理以及轮廓脉动 等特征的提取,并提出一种度量轮廓脉动信息的距离模型,该模型在规格化的傅立叶描述子空间能 够准确地度量这种时空闪烁特征. 实验结果表明,该方法具有比较好的鲁棒性,有助于提高视觉火 灾探测的准确率、降低误报漏报率.-Based on investigating color , text ure and temporal feat ures for vision based fire detection ,
yihuo
- 用神经网络中的BP网络来解决“异或问题”，异或函数在两个输入不等的情况下输出1，相等的情况输出0。-BP neural network with the network to solve the " exclusive-OR problem," the two input exclusive-OR function in the case of output ranging from 1, equal to the output of 0.
rice_detection
- 利用机器视觉系统代替人眼获取各项大米参数,再参照国标对其进行等级划分。在此基础上, 利用MATLAB软件的神经网络工具箱在数理统计基础上完成检测模型的构建,从而实现对未知大米外特性的评判,并为检测大米综合品质奠定了基础。-rice detection.At p resent, the evaluation method of the rice quality in China is still at the level of naked eye observation. How to cla
chapter4
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》4 特征提取,图像识别初步,人工神经网络,基于ANN的数字字符识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" four feature extraction, image recognition initially, artificial neural network, ANN base
compression_3
- 在神经网络中用求协方差矩阵的方法对人脸图像进行压缩及恢复-In the neural network covariance matrix using the method of face image compression and restoration
compression2_2
- 在神经网络中用迭代法对人脸图像进行压缩及恢复-Iteration in the neural network human face using image compression and restoration