资源列表
SubtractingImages
- IDL图像处理 SubtractingImages.rar-IDL image processing SubtractingImages.rar
gauss
- matlab环境下 对图像加高斯噪声， 可对噪声改参数-matlab environment, the image plus Gaussian noise, the noise can change parameters
matcode
- this is adaptive median filter for filtering the image - matlabcode
ch8_4_5
- 实现图像盲复原算法，在不知道点扩散函数的情况下，实现图像清晰化-Image Restoration Algorithm, do not know the point spread function in the case of image clarity
m1
- 处理图像，用于增强图像，必须是256色图像，用于滤波增强-Image processing for enhanced image must be 256 color images for enhanced filtering
Cpp1
- Canny边缘检测算子，供大家学习，一起交流-Canny edge detection operator, for everybody to learn, communicate with
li5_11
- 本程序对图像进行中值滤波 数字图像 7X7窗口 加均值 椒盐噪声 高斯噪声-This procedure on the image for 7X7 window, plus the mean salt and pepper noise, Gaussian noise, median filtering digital images
feature-detection
- 基于PCA的雷达点云数据的形状特征提取,主要是屋顶平面提取-The feature extraction of LiDAR point cloud data based on PCA
MSR
- Retinex理论始于Land和McCann于20世纪60年代作出的一系列贡献,其基本思想是人感知到某点的颜色和亮度并不仅仅取决于该点进入人眼的绝对光线，还和其周围的颜色和亮度有关。Retinex这个词是由视网膜(Retina)和大脑皮层(Cortex)两个词组合构成的.Land之所以设计这个词，是为了表明他不清楚视觉系统的特性究竟取决于此两个生理结构中的哪一个，抑或是与两者都有关系-MSR Retinex Function
he
- 不调用库函数，自编函数进行直方图均衡化处理-Histogram Equalization
kaibiyunsuan
- 利用开闭运算进行图像处理。代码正确可靠。开发环境为matlab，可作为学习matlab的练手小程序。-Using the open and close operation for image processing. Code is correct and reliable. Development environment for MATLAB, can be used as learning matlab practice small program.
filter-under-gaussian-noise
- 加入高斯噪声之后的几种滤波方式，均值滤波，中值滤波和维纳滤波-Several Gaussian noise filtering methods added later, mean filtering, median filtering and Wiener filtering