搜索资源列表
kaokeng
- 实现了对10个数字音的识别，BP神经网络用于函数拟合与模式识别，用于图像处理的独立分量分析。- To achieve the recognition of 10 digital sound, BP neural network function fitting and pattern recognition, Independent component analysis for image processing.
mc-cnn
- 通过深度神经网络实现双目视觉下图像深度识别，需要运行在linux环境中-Achieve recognition image depth through binocular visual depth at the neural network, you need to run in the linux environment
deepLearn-Toolbox
- 为卷积神经网络的优化代码，广泛适用于图像处理。-Convolution neural network optimized code, widely used in image processing.
wenxianzongshu
- 基于卷积神经网络的图像分割技术研究综述的实验报告-Research of image segmentation based on convolution neural network
25
- 模式识别相关内容，主要包括基于神经网络的图像识别。-Pattern recognition related content, mainly including the image recognition based on neural network.
nsct-pcnn
- 利用pcnn和nsct实现图像融合，非下采样Contourlet变换，脉冲耦合神经网络，连接强度-Using NSCT and PCNN image fusion, the sampling Contourlet transform, the pulse coupled neural network, the connection strength
compress-my-photo
- 基于BP神经网络，可以对灰度图像进行有损压缩，利于初学者学习-based on the BP neural network,which can be used to compress the graph and their like
Digital-image-processing
- 数字图像处理，基于BP神经网络识别手写数字-Digital image processing, BP neural network based recognition of handwritten numbers
gielai_v35
- 基于人工神经网络的常用数字信号调制，中介真值程度度量，基于中介真值程度度量的图像分割感应双馈发电机系统的仿真。- The commonly used digital signal modulation based on artificial neural network, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the valu
CNN-for-Segmentation
- 一篇关于如何用卷积神经网络（CNN）进行图像分割的论文，里面得到的效果还可以-an article about how to use CNN for image segmentation.The result is not bad.
benkeng_v42
- 包括最小二乘法、SVM、神经网络、1_k近邻法,一种基于多文档得图像合并技术，应用小区域方差对比，程序简单。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Based on multi-document image obtained combining technique, Application of small area variance comparison, sim
nouhun_v65
- 中介真值程度度量，基于中介真值程度度量的图像分割基于chebyshev的水声信号分析，关于神经网络控制。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Based chebyshev underwater acoustic signal analysis, On neu
Enhancement-Based-on-Visual-Property
- 常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整 体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞 感受野的传输特性,提出一种仿生图像增强算法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度 对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯 模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该
pinglan_v57
- 是一种双隐层反向传播神经网络，完整的图像处理课设，包含所有源代码，汽车图像，数值分析的EULER法。- Is a two hidden layer back propagation neural network, Complete class-based image processing, contains all of the source code, auto image, EULER numerical analysis method.
bp-for-license-recognition
- 利用BP神经网络算法进行车牌图像识别的代码，进行数字、车牌字符的识别，另附相应学习图片素材（二值化）及训练后网络-Using BP neural network algorithm for vehicle license plate image recognition code, the number of characters, license plate recognition, with the corresponding learning picture material and tra
fuikie_V3.7
- 是一种双隐层反向传播神经网络，有PMUSIC 校正前和校正后的比较，计算十字叉丝的在不同距离的衍射图像。- Is a two hidden layer back propagation neural network, A relatively before correction and after correction PMUSIC, Calculation crosshairs diffraction image at different distances.
lingqao
- 表示出两帧图像间各个像素点的相对情况，这是第二能量熵的matlab代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- Between two images showing the relative circumstances of each pixel, This is the second energy entropy matlab code, Including the least squares method, the SVM, neural networks, 1 _k neigh
IRFPA_NUC
- 红外图像非均匀性校正,神经网络，高通滤波-Infrared image non-uniformity correction, neural networks, high-pass filter
BPshenjingwangluo
- BP 神经网络用于图像的分类，仿真语言为matlab.-BP neural network for image classification, and simulation language is matlab.
kansei
- 仿真效率很高的，实现了图像的加水印，去噪，加噪声等功能，是一种双隐层反向传播神经网络。- High simulation efficiency, Realize image watermarking, de-noising, plus noise and other functions, Is a two hidden layer back propagation neural network.