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读入图像到命令窗口然后按CTRL + ENTER键，执行每一个单元。增强或降低图像亮度，不是普通的灰度调制。(first read any two image in command window then press ctrl+enter to execute each cell .highlight duller value nd increase or decrease the value from cell box to increase or decrease the image)

说明：  关于图像处理的matlab一百多个源程序(matlab)

神经网络去噪 matlab程序 神经网络去除随机脉冲干扰(neural network denoising Matlab neural network removal procedures random pulse interference)

This source code describes the minimum frequency seperation between two signals to be orthogonal with two cases for phase differences

基于博尔帖控制器的网络延时问题的研究及控制算法解决程序。(To solve the program research and control algorithm of network delay problem for pletiergao controller based on.)

Hello friend how are you. Its a Xamrine Sample Clock Example. Its a Analog clock

本程序主要描述的是二维DOA的MUSIC算法，有对应的图(a algorithm about MUSIC 2D direction of arrival. It is a very good and it will give some help to you.)

从电脑中选择一个图片，本程序可对图片完成类型转换，几何运算，代数运算（平均法降噪和减数运算），傅里叶变换，图像增强（包括灰度值变换，直方图均衡化，邻域平均法和中值滤波波法），图像复原，图像分割等功能。(Choose a picture from the computer, this program can complete type conversion, geometric operation, algebraic operation (average noise reduction and reduction), Fourier transform, image enhancement (including gray value transformation, histogram equalization, neighborhood averaging and median filtering wave method), image restoration, image segmentation and other functions.)

以矩形窗实现stft，以循环语句实现窗的移动(Rectangular window in order to realize stft, in order to realize loop windows mobile)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.