资源列表
graycomatrix
- 用MATLAB编写的灰度共生矩阵程序代码-matlab gravt level co-occurence matrix
simplegis9.2
- 简单的gisserver9.2应用内设注释-Gisserver9.2 simple application
color
- Vb写的屏幕取色程序,可以取得RGB值,并转换十六进制表示-Vb screen color
grey_process
- 我的图像处理作业,打开一张图片(bmp灰度256),实现灰度直方图均衡,灰度线性化和灰度拉伸,用VS2008写的,需要VS2008SP1,估计装的人不多,还是挺不错的,集成了BCGsoft的界面插件-My image processing operations, open a picture (bmp gray level 256), achieve a balanced histogram, gray and gray-linear stretching, using VS2008 writt
graphicsLayerOP
- arcgis server9.2 GRAPHICSLAYER操作-arcgis server9.2 GRAPHICSLAYER operation
oengl_VC
- vc++中opengl的简单但很能帮你你入门的例子,并含有vc++中配置opengl需要的文件-a simple but very Practical code for opengl in vc++
see
- 这个GUI界面软件能从你的计算机里读出你的图像,可以加入噪声,而给你提供各种滤波器来研究他们的特性。噪声类型:高斯噪声、淑盐噪声、泊松噪声-This GUI based code can read images from your computer , add noise to it and gives you different types of filters to study their performance. The Noises type : Gaussian
denosingbymultiscalewavelet
- 我们都知道以前的小波去噪没有充分利用相邻尺度间的相关性,而这个软件充分利用它们间的相关性来消除图像上的噪声,也就是通常所说多尺度积去噪方法。-We all know that the former does not take full advantage of wavelet denoising adjacent correlation between scales, and this software take full advantage of the correlation between
sfilter
- 虽然这是一个用C语言编写的图像处理源码,但可以很简单能过MATLAB命令来调用即mex s_trans.c ,以后就直接可以用M语言来完成操作。它是用来得到一幅图像每个像素周围的信息量。-Although this is a language with C-source image processing, but can be very easy to have MATLAB command to call that mex s_trans.c, since M can be used dire
simulated_annealing_method
- 实现了用模拟退火法求解大规模优化问题的通用解法-Implementation using the simulated annealing method to solve the common problem of large-scale optimization solution
IRView
- 这是一个用MATLAB语言编写的有关红外图像各方面处理的GUI界面软件,有各种滤波等-This is a MATLAB language using infrared images of the deal with all aspects of the GUI interface software, has a variety of filtering
Denoisingsmoothingclassification
- 对图像平滑去噪之后,进行最优特征组合,根据相应特征再进行分类处理-Denoising of image smoothing, the optimal combination of characteristics, in accordance with the characteristics of re-classification of the corresponding treatment
