A Basic Introduction to OpenCV for Image Processing

the realization of Wiener filter

用Matlab实现的Canny边缘检测算法，压缩文件中附有一张实验图片-Using Matlab realize the Canny edge detection algorithm, compressed file attached to an experimental image

基于c++BUILD的图像噪声处理，有各种滤波法去除各种噪声，还有添加各种噪声的方法-Based on c++ BUILD deal of image noise, there are a variety of filtering method to remove all kinds of noise, there are ways to add a variety of noise

用改进的GAC变分水平集方法实现图像分割，简化和避免了重新初始化问题-GAC improved variational level set method to achieve image segmentation, simplification and to avoid the issue of re-initialization

数字图像分割源代码，只要是对于医学图像CT片的分割，基于CT灰度值的玉直分割

从网络上下载的,此此文为第一部分,共5部分.-downloaded from the network, the first part of the article for a total of five parts.

采用USB CMOS摄像头进行人脸检测，效果很好，可做工程参考-USB CMOS camera used for face detection, the effect of good works can refer to

：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.

7‘TFT电视源码,可以直接驱动屏，并接收电视信号-7

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results