这个程序是百分之10噪声加过程，数字为1至9

vb做的类photoshop源码:可以打开图像文件并对其进行一些简单的处理，另外还可实现简单的画图功能。-vb do photoshop source categories : image files can be opened and its simple, but also achieve other simple drawing functions.

这是一个对图像进行线性变换的程序，对图像处理方向的初学者有较大的用户-This is an image of linear transformation process, the direction of the image processing for beginners has a larger user

拉普拉斯锐化（边缘锐化）：对图像边缘进行拉普拉斯锐化-Laplacian sharpening (edge sharpening): Laplacian of the image edge sharpening

在rgb颜色空间实现的单高斯模型，用于目标检测-In rgb color space to achieve a single-Gaussian model for target detection

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

基于NL_Means的均值平移图像分割算法-NL_Means based on the mean shift image segmentation algorithm

RGB转YUV程序 RGB转YUV程序-RGB to YUV to YUV procedures procedures RGB

figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds。 Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c. -figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds. Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c.

基于分块的跟踪算法。把一个跟踪模板划分成不同的块，分别判忧，而后选择最佳新位置-Block-based tracking algorithm. A tracking template is divided into different blocks, namely subcontracting and worries, and then choose the best new location

一个图像查看程序的例子，用 Visual Studio 2005 开发，使用的是 Visual Studio 2005 自带的 BMP 类，可以进行格式转换。-An image to view examples of the procedure, using Visual Studio 2005 development, using Visual Studio 2005 built-in BMP category, format conversion can be carried out.