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DIP_chapter3_sourcecode
- Chapter 3 of text book “Digital Image Processing” Gonzales named Intensity Transformations and Spatial Filtering, which consists of 6 sub-sections including (1) Basics intensity transformation functions, (2) Histogram Processing, (3) Spatial Filterin
exp9
- 在C++的环境下，对图像进行一维傅里叶变换，二维傅里叶变换以及相应的逆变换，求得图像的灰度变换，点运算，几何运算，直方，代数运算，空间滤波等。-In the C++ environment, the image is one-dimensional Fourier transform, two-dimensional Fourier transform and corresponding inverse transform image obtained by gradation conversi
color
- 本程序使用C#语言编写，实现了彩色图像处理的一些方法，包括空间变换、伪彩色处理、直方图均衡化、平滑处理、锐化处理、边缘检测、图像分割等内容-This procedure using C# language, to achieve a color image processing methods, including spatial transformation, pseudo-color processing, histogram equalization, smoothing, sharpen
Bai2
- Image Histogram,Image manipulation and histograms, Histogram Equalization,Spatial Image Transform.
another-matlab-sentence
- 能够实现图像的亮度变换、对数变换、亮度拉伸，直方图均衡化和空间滤波。-To achieve the brightness of the image transform, logarithmic transformation, brightness stretch, histogram equalization and spatial filtering.
5962473
- Matlab image processing, including histogram and spatial filtering applications of image enhancement and edge detection operator
数字图像处理简单程序
- （1）实现图像文件的打开、保存、另存为、打印功能； （2）图像直方图统计和直方图均衡，要求显示直方图统计，比较直方图均衡后的效果； （3）能对图像加入各种常见噪声，并通过几种滤波算法实现去噪并显示结果。比较去噪效果； （4）频谱处理，能够分析图像频谱，显示频谱图； （5）实现空域滤波中的平滑滤波和锐化滤波。((1) realize the image file open, save, save as, print function; (2) histogram statistics a
XELIOY326
- matlab的图像处理,包括直方图,空域滤波图象增强和边缘检测算子的应用(Matlab image processing, including histogram and spatial filtering applications of image enhancement and edge detection operator)
tuxiangchuli
- 包含数字图像处理功能：线性变换、直方图修正法、空间域平滑、锐化和一些算子等等。(Contains digital image processing functions: linear transformation, histogram correction, spatial smoothing, sharpening, and some operators, and so on.)
彩色图像分割
- The input color image will be coarsely represented using 25 bins.Coarse representation uses the spatial information from a Histogram based windowing process. K-Means is used to cluster the coarse image data.