Computational geometry

图象处理中的一些经典代码 周长发书上的原代码-Image processing code in a number of classic books week long the original code

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

包含图像的DCT变换，方块编码，直方图均衡，维也纳滤波等28种基础处理，用VC实现，包含测试图像，比较有实用价值-Contains images of DCT transform, box codes, histogram equalization, Vienna filtering based on 28 kinds of treatment, using VC realize, including the test images, comparison has practical value

本程序主要实现的是半自动的基于特征图像配准，在程序中，需要手工选取特征点，程序将自动寻找到相匹配的特征点，然后自动计算仿射变换参数，并将两幅图像进行拼接，合成一副图像-This procedure is mainly to achieve semi-automatic feature-based image registration, in the process, the need to manually select the feature points, the program will automatically find the matching feature points, and then automatically calculates the affine transformation parameters, and splicing two images , Synthesis of an Image

关于最大流问题，与最大匹配的讲解。内容比较浅显易懂。-On the maximum flow problem, with the largest matching explained. The study were easy to understand.

简单的图像处理小程序，非常好用，简单实用对于初学者有借鉴价值。-Simple image processing applet, very easy to use, simple and practical value for the reference for beginners.

在VC6.0中的一些基本操作,常常用来进行简单的学习和常规的练习 -in VC6.0 of some of the basic operations, often used for the study and simple conventional exercise

检测是否网络连接。看看好不好，好就下载吧，呵呵，好东西要分享啊-Detect the network connection. Good to see, good on the download now, huh, huh, ah want to share good things

图像处理框架 图像处理框架 -Image processing framework for image processing framework for image processing framework

：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.