A more practical is the video capture process. Procedures lovers can take advant...

用于运动目标地跟踪和识别处理， 是非常实用地运动目标跟踪程序-For moving target tracking and identification of treatment is very useful to track the process of moving targets

图像分割中常用的水平集方法的matlab源代码！-Commonly used in image segmentation level set method matlab source code!

基于轮廓的形状特征提取 1)该程序在VC＋＋6.0下编译通过； 2)测试图片说明：（图像路径名请在main函数中fp=fopen("1.bmp","rb")中设定） 64×64 24bit BMP： 图像1、2用来验证旋转图像识别；图像1、3用来验证平移图像识别；图像1、4用来验证缩放图像识别； 120×120 24bit BMP： 图像5、6用来验证平移图像识别；图像7、8用来验证旋转图像识别； 3)结果说明： MCS.dat保存了Mountain Climbing Sequence。 -Based on the outline of the shape feature extraction 1) the program in VC 6.0 under the compiler through 2) Test Photo Caption: (image path name in the main function fp = fopen (1.bmp, rb) set) 64 × 64 24bit BMP: image 1,2 to verify rotating image recognition image 1,3 to verify translational image recognition image 1,4 to verify scaling image recognition 120 × 120 24bit BMP: images used to verify translational 5,6 image recognition images 7,8 rotate images used to verify identification 3) The results indicate that: MCS.dat preserved Mountain Climbing Sequence.

用拉普拉斯算子对图像进行锐化处理，从而可以提起图像边界，附源码和测试图片-With Laplacian sharpening image processing, leading to the institution of the image border, with source code and test images

基于Otsu法自适应阈值的图像分割研究 论文 大律法-Otsu method based on adaptive threshold for image segmentation research papers big law

SIFT，介绍局部特征不变向量原理。同时利用SIFT进行图像的分割和识别。比较基础的资料-SIFT, introduce the principle of local feature vector unchanged. At the same time, the use of SIFT to image segmentation and identification. Comparison of basic information

（模板匹配）TemplateMatch算法实现的目标跟踪，可以跟踪运动镜头下的目标。-(Template matching) TemplateMatch algorithm of target tracking, can track movements of the objectives lens.

非常全面的生物信号分析工具包，能够详细分析信号时域频域、相位等特性，针对于生物信号有良好效果。-an excellent signal processing toolbox, it could give a detailed analysis on time series, frequency and phase. it is really useful on biomedical signal processing.

：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.

对图像进行JPEG2000压缩 使用时有一定的函数格式 在ms-dos下使用-JPEG2000 compression of the images when using in ms-dos , use a certain format adapt the function