搜索资源列表
conv2p
- 用matlab实现的离散二维卷积处理图像
matlab-Imagerecover
- 这是一个基于matlab图像复原处理包，其中包括图像的模糊、维纳滤波、盲反卷积、点扩散函数和光学转换函数互相转化-This is a matlab-based image restoration processing package, including the images fuzzy, Wiener filtering, blind deconvolution, point spread function and optical transfer function to transform
obd
- 2009 Online blind image deconvolution for astronomy 源代码，多通道反卷积处理图像，远算速度比较快-2009 Online blind image deconvolution for astronomy source code, multi-channel deconvolution process images far faster calculation
12122
- 数字图像处理实验代码，实现线性空域滤波，对图像进行模板卷积，然后锐化处理-Digital image processing experimental code, and realize the linear spatial filtering to do image template convolution, then sharpen processing
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
filtersTest
- 图像处理经典滤波算法实现，包括中值滤波、卷积、Sobel、Canny、Pyramid、Hough变换、轮廓提取、直方图均衡化、小波变换等等,可以试验算法效果，用着不错，拿来分享下。-Image processing classical filtering algorithms, including median filtering, convolution, Sobel, Canny, Pyramid, Hough transform, contour extraction, histogram
genmie
- 表示出两帧图像间各个像素点的相对情况，意信号卷积的运算,并且绘制图象，阵列信号处理的高分辨率估计。- Between two images showing the relative circumstances of each pixel, Convolution operation is intended to signal and image rendering, High-resolution array signal processing estimates.
fenggie
- 完整的图像处理课设，包含所有源代码，汽车图像，意信号卷积的运算,并且绘制图象，基于人工神经网络的常用数字信号调制。- Complete class-based image processing, contains all of the source code, auto image, Convolution operation is intended to signal and image rendering, The commonly used digital signal modulatio
nai-ti72
- 意信号卷积的运算,并且绘制图象，模拟数据分析处理的过程，一种基于多文档得图像合并技术。- Convolution operation is intended to signal and image rendering, Analog data analysis processing, Based on multi-document image obtained combining technique.
DSP2017.6.8
- .通过图像与 sobel 算子的二维卷积，获得 lenna.tif 和 car.jpg 水平和垂直方向边缘。 2.通过图像与 Prewitt 算子的二维卷积，获得 lenna.tif 和 car.jpg 水平和垂直方向边缘。 3.进一步处理图像，定位出车牌位置。 二(License plate recognition after two-dimensional convolution removal)
FeatureExtractionUsingAlexNetExample
- 本示例展示了怎样从一个预处理的卷积神经网络中提取特征，并用这些特征去训练一个图像分类器。(This example shows how to extract learned features from a pretrained convolutional neural network, and use those features to train an image classifier. Feature extraction is the easiest and fastest way use