搜索资源列表
ztw_ImgProcess
- 数字图像处理,包括了二值化,threshold,数学形态学,卷积等等内容-digital image processing, including the two values, threshold, mathematical morphology, convolution, etc.
mohuyuruihua
- 在java应用程序中通过卷积操作变换ComvolveOp实现图像的模糊与锐化,思路如下: 源缓冲区图像-〉卷积过滤器-〉目标缓冲区-in java applications through convolution operators transform ComvolveOp Fuzzy Image and Sharpening thinking, as follows : buffer source image-> convolution filters-> target
deconv
- 采用matlab编写的数字图像恢复程序,和数字图像解卷积操作的程序。对常用的几种解卷积方法都有例子。-using Matlab prepared by the digital image recovery procedures, and digital image deconvolution operating procedures. Several pairs of common deconvolution method has examples.
CTreconstruction
- 卷积反投影重建CT2维图像(Visual Fortran编写)-convolution-projection reconstruction CT2-dimensional images (Visual Fortran preparation)
db97
- DB97提升小波程序,实现任意偶数大小图像双正交97提升小波变换,比传统的CDF97卷积算法好-DB97 lifting wavelet procedures, arbitrary size images even biorthogonal wavelet transform 97 upgrade, than the traditional filter convolution algorithm good
作业5
- 理解频域处理与空间域处理的等效关系与步骤,掌握频域相乘与空间域循环卷积之间的对等关系,理解DFT运算中补零的效果。(Understand the equivalent relationship and steps of frequency domain processing and space domain processing, understand the reciprocal relationship between frequency domain multiplication and
vreqmption-configuration-loader
- 随即信号实验程序,随即信号的产生,卷积运算,求功率谱函数等,()
CNN_matlab
- 卷积神经网络(CNN)是一种深度学习方法,它可以对图像进行识别和特征分类等优点。(The convolution neural network (CNN) is a deep learning method which can identify and characterize the image.)
论文 基于图像恢复在无人机领域的应用与研究 (2)
- 由于无人机在航拍时会受到相对运动、姿态变化、光学环境、机械振动等因素的影响,导致所拍图像退化。本文使用MATLAB对无人机航拍图像退化过程进行了仿真实验,根据图像退化的原因建立相应的图像退化模型,把清晰的原图像进行退化处理,然后将模拟出来的退化图像分别使用维纳滤波、约束最小二乘(正则)滤波、Lucy-Richardson迭代非线性和盲解卷积4种不同的复原算法进行恢复,达到复原模糊图像的目的。(The application of UAV aerial photography became mor
cvGabor
- 傅里叶变换是一种信号处理中的有力工具,可以帮助我们将图像从空域转换到频域,并提取到空域上不易提取的特征。但是经过傅里叶变换后,图像在不同位置的频度特征往往混合在一起,但是Gabor滤波器却可以抽取空间局部频度特征,是一种有效的纹理检测工具(Fu Liye transform is a powerful tool in signal processing, which helps us transform images from airspace to frequency domain and e
cnn图像分类
- 基于Tensorflow下的cnn卷积神经网络实现图像的分类(Image classification CNN convolutional neural network based on Tensorflow)
LOG
- 实现在LOG算法下,探讨不同σ对LOG的影响,卷积核(Under the LOG algorithm, we discuss the influence of different Sigma on LOG and convolution kernel.)
matconvnet-manual
- 图像深度学习英文资料;卷积神经网络的MATLAB(Image depth learning English materials;Convolutional Neural Networks for MATLAB)
DeconvolutionCode-LevinEtAl07
- 应用于超分辨成像; 图像处理; 图像重建;图像恢复(Deconvolution using natural image priors Gaussian Prior Deconvolution)
Machine learning
- 提供监控场景下多张带有标注信息的行人图像,可定位(头部、上身、下身、脚、帽子、包)的基础上研究行人精细化识别算法,自动识别出行人图像中行人的属性特征。(It provides a number of pedestrian images with tagged information under the monitoring scene, and can study the pedestrian refinement recognition algorithm based on the locat
Genetic-Algorithm-with-python-master
- 修复人缺失图像Genetic-Algorithm-with-python-master(Genetic-Algorithm-with-python-master)
CNN
- 通过卷积网络,自动实现对图片特征的提取,通过训练,得到有效的权值,进行图像分类(Through convolution network, automatic extraction of image features can be realized. Through training, effective weights can be obtained and image classification can be carried out.)
fenlei
- 利用深度学习进行遥感图像场景分类 这里我们对NWPU-RESISC45数据集的场景图像进行分类 我们将卷积神经网络应用于图像分类。我们从头开始训练数据集。此外,还应用了预先训练的VGG16 abd ResNet50进行迁移学习。(Scene Classification of Remote Sensing Images Using Deep Learning Here we classify scene images from NWPU-RESISC45 dataset We apply
tamper
- 用深度学习卷积网络CNN,实现图像复制粘贴和图像拼接篡改的定位(Using deep learning convolution network CNN to locate image copy-move and image splicing tampering)
MATLAB视频去雾【GUI,源码,论文】
- 该课题是基于MATLAB平台的图像去雾处理,配备一个人机交互GUI界面,可以选择局部直方图均衡化,全局直方图均衡化,Retinex算法,通过对比处理前、后的图像的直方图,而直方图是一副图像各灰度值在0-256的分布个数的表,信息论已经整明,具有均匀分布直方图的图像,其信息量是最大的。 二、算法介绍 ①全局直方图均衡化:通俗地理解就是,不管三七二十一,直接强行对彩色图像的R,G,B三通道颜色进行histeq均衡处理,然后进行三通道重组; ②局部直方图均衡化:设置一个固定大小的滑块,分别对彩色图像进