支撑材料

很好的解析bmp图片的源代码，很不错的初学者的例子，换页大家下载(Very good analytical bmp image of the source code, it is a good example for beginners, for everyone to download page)

说明：  FastLib图像特效库（新）.一些图形方面的算法如翻转，放大缩小，都有例子：）(FastLib Image effects for the (new). Some graphics algorithms such as overturned, zooming, Some examples :))

基于改进遗传算法的单阈值图像分割方法，该方法在基础遗传算法的基础上进行了改进(Application of Basic Genetic Algorithms in Image Segmentation)

说明：  该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱 ：Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去，这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多，也涉及到了很多方面，更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)

说明：  基于IDL语言，使用珠海一号内蒙古地区样例数据、珠海一号贵阳省高光谱数据、Landsat5济南上下幅TM数据（用于拼接验证），实现文件基本操作、遥感图像预处理、高光谱数据处理、生态评价、最大似然法分类、K-Means分类等遥感图像初步处理功能。(Based on IDL language, using Zhuhai No.1 Inner Mongolia area sample data, Zhuhai No.1 Guiyang province hyperspectral data, landsat5 Jinan upper and lower TM data (for splicing verification), the preliminary processing functions of remote sensing image, such as file basic operation, remote sensing image preprocessing, hyperspectral data processing, ecological evaluation, maximum likelihood classification, K-means classification, etc.)

说明：  成功实现了车牌的定位、字符分割、并用神经网络实现了字符识别功能。可运行。(The successful implementation of the license plate of the positioning, character segmentation, and neural network achieved a character recognition function. Run.)

压缩感知中经典的匹配追踪算法，稀疏变换包含小波基和离散余弦变换基。(The classical matching pursuit algorithm in compressed sensing includes sparse wavelet transform and discrete cosine transform base.)

利用matlab对彩色图像进行分割处理，图像针对bmp jpg pcn格式(color image segment)

这是一个阈值分割的小例子，利用阈值分割把原始图片转化为二值图像和灰度图像。(This is a small example of a threshold segmentation using thresholding the original image is converted to binary and grayscale images.)

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)