基于OpenCV的距离变换，实现计算输入图像的说有非零象素与其最近零象素的距离。...

用photoshop制作的电视条纹图的详细制作操作-Using photoshop television production pattern detailed operation

特殊图象处理效果 对大家处理图象有帮助 希望大家用得得心应手-A special image processing effects on processing images help us hope that we are used handy

图象滤波(中值滤波,垂直镜像处理,水平镜像处理)-image filtering (filtering, the vertical image processing, image processing standard)

一个将二进制文件存储的Bayer格式的图像转为BMP格式图像显示并BMP格式并显示的桌面计算机程序-A windows Application Software that Convert Image from Bayer to BMP format.

Digital Image Processing教材配套 matlab源程序，可以同时参看这本教材，相信可以得到更好的学习效果-supporting Matlab source materials, can see this material, I believe it can be a better learning results

计算机图形学的编程实践，包括画直线、反走样直线、画圆、 画椭圆、画矩形、画多边形、矩形填充、多边形填充、3D变换、光照、贴图等-computer graphics programming practice, including painting line, anti-aliasing straight Circle, painted oval, rectangular painting, drawing polygon, rectangle filling, polygon filling, 3D transformation, lighting, textures, etc.

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是反色处理-for image processing, have been tested, the very practical, The main source of anti-Color

图像处理作业，能够处理BMP格式的图像，能够实现多达29种效果。是图像处理方面的一个很好的演示程序-image processing operations, will be able to handle BMP format images can be achieved up to 29 types of effects. Image processing is a good demonstration program

Maximum Shannon information entropy的图像分割，是结合概率统计的方法进行的分割，理论上可以得到图像分割的更多细节。打开即可使用-Maximum Shannon information entropy of the image segmentation, is a combination of the methods of probability and statistics division, in theory, image segmentation can get more details. Open to use

：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.