搜索资源列表
h3_gaussianblur
- matlab 图像Gaussian Blur 的实现 USM-Filter 带有GUI窗口-matlab implementation of the image Gaussian Blur with a GUI window, USM-Filter
dImaageProcesi
- 数字图像处理的源码。包含图像边缘检测，图像高斯滤波，拉拉普拉斯变换，直方图均衡等。 可直接使用。 已通过测试。 -Source of digital image processing. Containing the image edge detection, image Gaussian filter, Lara Plath transformation, histogram equalization. Can be used directly. Has been tested.
LowpassFiltering
- 本实验要求要求实现高斯低通滤波器的程序，并设定截至频率半径为15时得到如课本上图4.18图c的图。使低频通过而使高频衰减的滤波器成为低通滤波器，被低通滤波的图像比原始图像少一些尖锐的细节部分。本实验就是设计实现高斯低通滤波器。-Requirements of this experiment requires low-pass Gaussian filter procedure and set the frequency up to a radius of 15 textbooks, such a
matlab
- 为图片进行添加高斯噪声均匀噪声以及椒盐噪声，并且采用a修正的均值滤波和自适应中值滤波进行除噪，并且进行除噪性能判断-Add a picture for uniform noise and Gaussian noise, salt and pepper noise, and the use of a modified mean filter and adaptive median filtering for noise removal, noise removal performance and
filter
- labview先产生正弦波，叠加高斯白噪声，然后通过滤波处理，回复原正弦信号，欢迎参阅。-labview to generate sine wave, superimposed Gaussian white noise, and then through the filter processing, responding to the original sinusoidal signal, please refer to.
Implementation-of-SIFT-detection
- 摘要：针对SIFT 特征提取的硬件实现结构复杂、难以达到实时性的问题，提出一种改进的高斯金字塔构建方法，该方法从 构建高斯金字塔的原始意义出发，大幅减少了所需的运算时间和存储单元。同时提出并验证了合适的SIFT 参数配置，以及 具体的硬件优化和并行实现方案，使整个系统可以在一片单独的FPGA 芯片上实现。该系统读入串行像素数据流，输出关键 点的特征描述符，并采用256×256 的图像对其进行了仿真验证，结果表明完全达到了实时的效果。 关键词：特征点 实时 尺度不变特征变换 现场可
steerGaussmatlabcode
- 关于Steerable filtering decomposition 的matlab程序,- STEERGAUSS Implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H. Adelson
GLPyramid2
- 多尺度图像技术指对图像采用多尺度的表达，并在不同尺度下分别进行处理，也称多分辨率技术 金字塔是一种有效的多尺度表达结构 构建高斯金字塔和拉普拉斯金字塔 高斯低通滤波器 对应高斯金字塔中相邻两层图像差的带通滤波器 -Multi-scale imaging technology refers to the image using multi-scale expression, and in different scales, respectively, for pro
xiaoboji
- 采用低通性质的平滑函数为高斯函数，根据他的一阶导数、二阶导数作为小波基函数进行突变点分析。 -The use of low-pass nature of the smoothing function for the Gaussian function, according to his first derivative, second derivative wavelet basis function as a point mutation analysis.
image_processing
- 中值滤波 均值滤波 高频提升滤波 sobel算子 robert算子锐化 高斯噪声生成程序 图像处理-Median filter to enhance high-frequency filter mean filter sobel operator robert Operator Sharpens Gaussian noise to generate image processing procedures
gmskmod
- GMSK信号的MATLAB编程，包括高斯滤波器的产生和编码-GMSK signals in MATLAB programming, including the generation and coding of Gaussian filter
txlb
- 数字图像处理中的滤波和傅里叶压缩，包括理想低通滤波器，巴特沃茨高通滤波器，高斯带通滤波器，高斯带阻滤波器，FFT图像压缩。附原图像和处理后的图像截图。-Digital image processing in filtering and Fourier compression, including the design of an ideal low-pass filter, design Batewoci high-pass filter, bandpass filter design Gaus
16qam_channel_encode
- 一、 本程序采用16QAM调制方式，对一串2进制信源进行调制，采用（7，4）循环码对信源做信道编码，用升余弦滚降函数进行基带调制，再调到高频信道；在信道上加入高斯白噪声，运用匹配滤波器解调，画出解调星座图，运用最小欧氏距离译码判决，再对信号进行信道解码，画出采用信道编码技术和不采用信道编码技术的误比特率图。-First, this program uses 16QAM modulation mode, for a string of two binary source is modulated,
Gaussian_Lowpass_Filter
- 二阶高斯低通滤波器，实现对图像的平滑处理，-Gaussian second-order low-pass filter, to achieve the smoothing of images,
low pass filter
- 理想，Buuterworth 高斯低通滤波-Ieal, butterworth gaussian low pass filter
high-and-low-pass-filter
- 这是Matlab实现高通滤波和低通滤波的源代码，主要包括巴特沃斯低通滤波器、理想低通滤波器和高斯低通滤波器。-this is the source code that has implemented the BTW low pass filter and ideal low pass filter as well as gaussian low pass filter.
denoise
- 图像分别加高斯噪声和椒盐噪声，然后进行中值滤波和算术均值滤波去噪处理。-Images were added Gaussian noise and salt and pepper noise, median filter and then the arithmetic mean filter denoising.
lzlv
- 标准粒子滤波目标跟踪源码！ 一维情况下 非线性非高斯,-Standard particle filter target tracking source! One-Dimensional Non-linear non-Gaussian,
W-Filter
- 程序包括有维纳滤波，中值滤波，高斯变换，DFT变换等等图像滤波源代码-Procedures include Wiener filtering, median filtering, Gaussian transform, DFT transform source image filtering, etc.
edge
- 边缘检测图像应用高斯滤波器平滑图像，用双阈值算法检测和连接边缘。-Application of edge detection image smoothing Gaussian filter images, with dual-threshold algorithm for edge detection and connection.