avi2image

for edge detection(linear detection as road) in radar images we can use the morphology technique. here i am coding fo morphology process to detect the linear feature of an image.

数据组合方法研究，该方法是以多项式为基础通过不断筛选组合来辨识非线性系统的模型。该文章详细介绍了该方法的发展及实现步骤。针对该方法中的不足，提出改进措施(Data combination method, the method is based on the polynomial basis through continuous screening combination to identify the model of the nonlinear system. The article describes in detail the development and implementation steps of the method. Deficiencies in the methods, suggest improvements)

2006年World Congress on Intelligent Control and Automation上的一篇水平集的文章，对于初始化介绍比较详细(2006 World Congress on Intelligent Control and Automation on a level set of the article, for a more detailed introduction to initialize)

sobol 采样方法的matlab程序，全局敏感性分析必备，希望有帮助！~(sobol sampling method matlab program, global sensitivity analysis necessary, Hope that helps! ~)

research papers for m tech

EGPRS Phase 2 Uplink Level B Simulation

一种bss盲源信号分离的工具包 可以用于盲信号的提取(a blind source separation of the tool kit can be used for Blind Signal Extraction)

说明：  matlab 中很实用的源代码3：13.直方图阈值法 16 14. 自动阈值法：Otsu法 18 15.膨胀操作 19 16.腐蚀操作 20(Practical source code of matla)

DSP matlab 增采样仿真 定点数量化等(DSP matlab simulation of futher sampling)

针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针对大量图像进行了实验和增强效果的定性与定量评价, 并与双向直方图均衡法、二代小波变换法、Curvelet 变换法和多尺度Retinex法作了比较。结果表明, 所提出的方法增强了图像细节, 抑制了噪声, 并明显改善了图像的整体视觉效果。(As infrared image enhancement method based on wavelet transformation has the problem of unperfect visual effect , and Retinex enhancement algorithm can enhance visual effect of the image by improving brightness uniformity , amethod based on stationary wavelet transformation and Retinexis proposed.Firstly , the infrared image is decomposed into high-frequency detail and low-frequency approximation components at various resolutions, and the low frequency subband image of the largest scale is enhanced by multiscale Retinex algorithm.Then, the highfrequency subband images are denoised by Bayesian shrinkage method, and the gain coefficients of high-frequency subbands are available by calculating the local contrast of the enhanced low-frequency subband based on fuzzy rules to get the enhanced high-frequency subband images .Finally, the enhanced image is reconstructed by the low-frequency subband and high-frequency subbands .Experiments with qualitative and quantitative uation are carried ou)