高斯平滑数字图像处理的一个重要手段，用程序…

有关多目标跟踪算法及其实现的博士论文一篇，供参考-Related to multi-target tracking algorithm and its realization of a doctoral thesis, for reference

Brown noise generated in Matlab

来源于网上的C++技术开发的图形处理代码, 为国外开源代码, 可用来学习掌握C++的图形处理算法。来源于网上公开资料，供学习使用。-From online C++ Graphics technology development deal with code, for foreign open-source code, can be used to study and master the C++ Graphics processing algorithms. Disclosure of information from the Internet for learning to use.

提供了网址http://www.caip.rutgers.edu/riul/research/code.html 的MS 分割法进一步封装，包括Matlab接口和C语言接口。-Provides a web site http://www.caip.rutgers.edu/riul/research/code.html further segmentation of MS packages, including Matlab interface and C language interface.

关于图像最小凸包的一系列算法,该算法主要运用于OpenCV 中的MinAreaBox()函数中 用于确定图像的倾斜角度-With regard to image the smallest convex hull of a series of algorithm, which mainly used OpenCV in MinAreaBox () function is used to determine the image of the tilt angle of

本代码依据提升小波原理自己编写，供大家参考，其中的正反变换大家能清楚看到了-the code based on wavelet theory enhance their preparation for your reference, the pros and transform you can clearly see the

这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab, let everyone take what we need. Gabor transform can be achieved in a number of scales, a number of position on the transformation, especially for the detection of texture have very good results, the study shows that the characteristics in line with Gabor receptive field characteristics of the human eye.

一种使用mqtlab编写的图像滤波器程序！可以有效去除高斯噪声，欢迎交流！-Written in a kind of image filter to use mqtlab program! Can effectively remove Gaussian noise, please share!

亮度增减：对图像 的亮 度进 行增 加或减 小-Increase or decrease in brightness: the brightness of the image to increase or decrease the

采用多孔trous算法(undecimated wavelet transform)实现小波变换，用的是一维信号 -The use of porous trous algorithm (undecimated wavelet transform) the realization of wavelet transform, using a one-dimensional signal