xiququyu

图像显著性，利用Itti视觉显著性分析算法，提取视觉对输入图像的感兴趣部分(Image salient regions)

vc6.0 控制摄像头源代码，采用directxshow 效率很高，小弟参考了很多的资料才搞明白，和大家共享，希望对大家有帮助(camera control vc6.0 source code, the use of highly efficient directxshow,小弟reference a lot of information in order to engage in to understand, and share, in the hope that we have to help)

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

matlab语言PCNN实现图像分割 边缘检测 图像增强等(PCNN image processing matlab)

对matlab中的GUI界面设计进行讲解并附有案例，例如如何进行界面菜单和控件设计，不同GUI之前函数传递，并讲解了如何调用自身函数(Matlab GUI interface design to explain the attached case, for example, how to interface menus and controls design, the different GUI function is passed before, and explain the how to call its own function)

实现landsat处理，有兴趣的可以下载(Implementing Landsat processing)

说明：  图像边缘检测，图像中值滤波和MATLAB处理(Digital Image processing based on FPGA)

Opencv处理图像，用ostu法实现图像的二值化(Opencv image processing, using ostu method to achieve image binarization)

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

全变分去噪 J=tv(I,iter,dt,ep,lam,I0) 输入: I - 灰度图像, iter - 迭代次数 [1], dt - 时间步长 [0.2], ep - 提升参数epsilon [1], lam - 保真项 lambda [0], I0 - 输入噪声图像 [I0=I] ([]中的是缺省值)( 全变分去噪 J=tv(I,iter,dt,ep,lam,I0) 输入: I - 灰度图像, iter- 迭代次数 [1], dt - 时间步长 [0.2], ep - 提升参数epsilon [1], lam - 保真项 lambda [0], I0 - 输入噪声图像 [I0=I] ([]中的是缺省值))