资源列表
DSP-6
- 基于DSP的图象处理资料---基于DSP的视频图像特征提取技术-DSP-based image processing information -- DSP-based video feature extraction technology
tks
- vfp下载远程图片到桌面更新程序,调用API涵数,很不错的.最近才做的-Probe download remote images to the desktop update, called API function is very good. Only recently done
myBMA_8block
- 经典时域不规则网格运动补偿程序,matlab程序，对研究运动补偿有帮助。-classic time-domain irregular grid motion compensation procedures, Matlab procedures, the study motion compensation help.
mutualinfo
- 用于图像配准等应用的互信息计算，为Matlab程序，比较简单，但很实用。-for image registration applications such as the mutual information, as Matlab procedures are relatively simple, but practical.
bsiftC_
- 一个用c#来进行图像匹配的实现算法，该算法是采用sift算法来实现的。-c # 1 used for the realization of image matching algorithm, which is used to sift algorithm achieved.
edgedemo
- 边缘检测GUI 源程序图形用户界面GUI制作，only the M-file-Edge Detection source GUI graphical user interface GUI production, only the M-file
opencvexample
- 使用vc++和opencv编写的读取视频文件和运动检测的例子，其中包括自适应背景更新的方法。-use vc opencv prepared and read documents and video motion detection example, These include adaptive background updating methods.
texture_extraction
- 灰度共生矩阵和灰度梯度共生矩阵的提取方式，是比较重要的纹理特征提取方法，用matlab实现的-co-occurrence matrix and GGCM extraction, is the more important Texture feature extraction methods, achieved using Matlab
RGB_histgraph
- 基于颜色直方图的图像检索_矩阵旋转算法,有需要的下载.-color histogram-based image retrieval _ rotation matrix algorithm, it is necessary to download.
DistanceTransform(VC)
- 距离变换算法距很好的将二值图像变换为灰度图,为后续用分水岭算法做准备。并且附上详细的代码说明和例子。-distance from the algorithm will be two very good value for the image transform the gray level for the follow-up watershed algorithm used to prepare. And attached a detailed descr iption and code exa
ART2Function
- 神经网络源代码，为研究神经网络的同学提供帮助-neural network source code for the study of neural networks to help provide students
test12-28
- 1．几种灰度变换，分段线性化，平方变换，对数变换，平方根变换等等 2．几种滤波器，中值滤波，均值滤波等等 3．图像分割，边缘检测，轮廓提取，以及SOBEL梯度算子 4．彩色图像，红色通道，绿色通道，蓝色通道 5．图像的几何变换，图像缩放，镜像（水平镜像和垂直镜像） -1. Several gray-scale transformation, piecewise linear, square transform, the number of transformation, an