procedures can open multiple image formats, but also for special effects, interf...

应用Meanshift实现对视屏序列的运动目标进行跟踪，抗遮挡性较强。-Application of video sequences Meanshift achieve the objectives of the exercise track, a strong anti-block.

Super Resolution of Images and Video 超分辨率入门书籍-Super Resolution of Images and Video

关于DICOM格式转换为位图BMP格式的c++源代码-On the DICOM format conversion for BMP bitmap format c++ Source code

本程序是一个将图片转换成可以在打印机上打印的例子，可以将图片转换成灰度图，二值图，包含抖动算法和图案法。-This procedure is a picture can be converted into examples of the printer to print can be converted to grayscale images, binary image, including jitter algorithms and design method.

利用Hough变换检测抛物线的算法。利用标准Hough变换从二值（黑白）图像中检测抛物线。-The use of parabolic Hough transform detection algorithms. Standard Hough transform from the binary (black and white) image in the detection of a parabola.

一个比较完整的边缘寻找的实际例子，对于肝刚接触图像处理算法的学习者可能会有帮助。-The edge of a relatively complete search of practical examples, for liver刚接触image processing algorithm may be helpful to learners.

这是一个自编的应用边缘提取和傅立叶描述子来进行数字的表述和识别-This is a self-application of edge detection and Fourier descriptors for the number of statements and identification

这是一个用于人脸跟踪算法，采用OPENCV实现。可广泛应用视频监控等领域。-This is a face tracking algorithm for use OPENCV achieve. Can be widely applied in areas such as video surveillance.

数字图象处理中经常用到的形态学之腐蚀变化-Digital image processing frequently used for the morphological changes in corrosion

：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.