搜索资源列表
untitled
- 图像增强：空域增强；灰度直方图；平滑滤波器和锐化滤波器的使用；图像中值滤波增强的使用；低通滤波器和高通滤波器的使用 -Image Enhancement: Enhanced airspace gray histogram use of the smoothing filter and sharpening filter the use of the enhanced image median filtering the use of low-pass filter and high-
gauLaps
- 高斯滤波 实现图像的平滑 滤除图像的噪声-Gaussian filter to achieve image smoothing filter out the noise of the image
xiaobobao
- 基于小波包变换的去噪处理 全局阈值去噪图像 对图像进行平滑处理以增强去噪效果（中值滤波）-Denoising based on wavelet packet transform global threshold denoising image smoothing image enhancement and denoising effect (median filtering)
pinghua
- 对粗曲线细化处理，对图像进行平滑去噪，中值滤波去噪，数学均值去噪。-Crude curve refinement processing, image denoising, the median filter denoising, mathematical mean denoising.
DigitalImageProc
- 数字图像与处理 运用opencv作为类库 开发的数字图像处理小系统 包括图像锐化平滑 图像数据编码压缩 图像增强复原 图像分割 图像滤波处理 小波分析 beizer曲线等-Digital image processing use opencv as a class library development, digital image processing system includes image sharpening smooth image data compression coding i
shuzituxiangdezaoshenquchu
- 此程序为数字图像的去噪声程序。自定义中值滤波和均值滤波函数，来对图像进行平滑操作。-This program is a digital image to noise program. Self-definition of the median filter and mean filter function to the smooth operation of the image.
java-image-processing
- JAVA图像处理读取BMP图像、用RGB获取灰度信息、直方图均衡化、拉普拉斯2阶滤波、平滑锐化、增强滤波、局部阀值处理、全局阀值处理等-Java image processing to read the BMP image, obtained by RGB gray level information, histogram equalization, 2nd order Laplace filtering, smoothing, sharpening, enhanced filtering, p
tsobbellh
- 这是我本人自己开发的可用于256*256大小的图像进行sobel边缘检测的vhd文件，可在QuartusII或MaxplisII下综合与与仿真，并在FPGA上测试过。能进行修改支持其他大小图像的sobeel边缘检测，同时还能实现其它的图像模块化处理算法，例如高斯滤波，平滑等。 -This is my own development vhd file, can be used for 256* 256 size image sobel edge detection under QuartusI
jjava_image_pa
- java处理数字图像，包括镜像、中值滤波、线形灰度变化、图像像平滑、图像模糊、图像还原、锐化、量化、二值化图像、边缘检测等 -java processing digital images, including mirroring, median filtering, linear grayscale change images like smooth, fuzzy images, image reduction, sharpening, quantify, binarization imag
Bvehiclehsve
- 能够对大部分的车牌进行定位,和识别 .包括数字图像处理的 均衡化,,灰度化,中值滤波,平滑处理,各种边缘检测算法,还有四种二值化方法 。 -Able to locate and identify most of the license plate. Including digital image processing, equalization, graying, median filtering, smoothing, edge detection algorithm, there are
chap
- P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P030
1
- 对图像的进行缩放，旋转，锐化，边缘提取，平滑，滤波的操作程序-Conducted for image scaling, rotating, sharpening, edge detection, smoothing, filtering operation procedures
opencv
- 计算机视觉代码，计算机视觉是研究如何使人工系统从图像或多维数据中“感知”的科学。容涉及几何摄像模型、光照和着色、色彩、线性滤波、局部图像特征、纹理、立体相对、运动结构、聚类分割、组合与模型拟合、追踪、配准、平滑表面与骨架、距离数据、图像分类、对象检测与识别、基于图像的建模与渲染、人形研究、图像搜索与检索、优化技术等内容-OpenCV， image processing Computer vision is to study the science of how to make artificia
Gdal-library-operation-class
- 这是一个基于GDAL的类，可以实现图像的各种操作，包括显示、平滑、滤波、直方图均衡化、以及所以GDAL相关的操作-This is a based on the GDAL classes, can realize image all kinds of operations, including display, smooth, filtering, histogram equalization, and so the GDAL related operations
matlab-code
- 应用Matlab工具箱演示对比度增强，局部平滑，中值滤波，小波工具，边缘检测，图像二值化，Hough变换直线提取，灰度阈值分割，四叉树分裂合并法等，并完成这些处理程序的GUI集成。-Application the Matlab toolbox Demo contrast enhanced local smoothing, median filtering, wavelet tools, edge detection, image value, Hough transform line extra
vcdajia
- 图像处理中的变化，傅里叶变化，小波变换、滤波、平滑处理。边缘检测等各种图像处理功能-Change in image processing, Fourier transform, wavelet transform, filtering, smoothing processing. A variety of image processing functions of the edge detection, etc.
clg
- 数字图像处理实验，包括均值滤波，平滑和锐化-Digital image processing experiments, including mean filtering, smoothing and sharpening
cvFilter
- opencv，用不同的核进行图像的二维滤波，函数cvSmooth实现各种方法的图形平滑。-opencv，image smooth with different kernel
Image
- 图像的增强实现线性平滑，中值滤波，图像的锐化和伪色彩图像增强-Image enhancement to achieve linear smoothing, median filtering, image sharpening and pseudo-color image enhancement
jiaoyan
- 打开一幅图像，添加椒盐、高斯噪声，然后使用中值滤波，K邻域平均法进行平滑-Open an image, add salt and pepper, Gaussian noise, and then use the median filter, K neighborhood average method smoothed