When x is a matrix, a wavelet transform is performed on all rows of x. ％ - To create filters + shifts: see makeWTfilter.m and mirrorshifts.m ％ - The forward transform is in FWT_BIO.m-When x is a matrix, a wavelet transform is performed on all rows of x.- To create filters+ Shifts: see makeWTfilter.m and mirrorshifts.m- The forward transform is in FWT_BIO.m

该数字图像处理软件包利用Delphi7.0完成，参照《基于Delphi的数字图像处理工程软件设计》这本书，可以实现基本的图像处理功能：如二值化、中值滤波、边缘检测、图像腐蚀等-The use of digital image processing software package Delphi7.0 completed, the light of

VOXEL实时地形渲染-VOXEL-Terrain Rendering

该源码里包括很多matlab源代码，比如颜色模型之间的转化等等，对图形图像处理的同行门肯定有帮助。-The source includes a lot of matlab source code, such as the conversion between the color model, etc., on the graphical image counterparts door handle will certainly help.

这是一个去除噪声软件，用动态链接库封装起来，可以导入使用-This is a noise removal software package with dynamic link library, and can be imported using

Harris-Laplace combined corner and edge detector 完成对图像的角点和边缘的同时检测-Harris-Laplace combined corner and edge detector angle to complete the image at the same time point and the edge detection

很不错的lda源码，与大家分享-Lda very good source to share with you

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

该函数实现的是Lucas Kanade的光流运动估计算法-it implements the optical flow method of Lucas Kanade

：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.