判断点在多边形内还是外的例程

聚类问题的matlab程序,聚类问题在图像处理中有着广泛的应用-Clustering problem matlab procedures, clustering problem in image processing has a broad application

本程序包含了一些膨胀程序，图像源代码生成，详述了膨胀原理-This procedure contains a number of the expansion process, the image source code generated, detailing the expansion of the principle of

在matlab环境下，包括图像评价函数算法：Brenner、方差、梯度阈值、熵函数、能量梯度函数。-in Matlab environment, including image evaluation function algorithm : Brenner, variance, gradient threshold, entropy function, energy gradient function.

OTSU算法是一个可以稳定获取图像分割阈值的好方法，本人根据其思想，编译了一个函数，可以方便您的调用，自适应的获取图像的阈值，-OTSU algorithm is a segmentation threshold can be stabilized to obtain the value of a good way, in accordance with their thoughts, to compile a function, you can easily call adaptive image acquisition threshold,

几何偏微分方程应用于图像处理的水平方法集程序-geometric partial differential equations used in image processing methods set the standard procedure

混合高斯模型的经典文章，费了我好大的劲才能找到-Gaussian mixture model of the classic article, took me to find a good big Jin

可以根据DICOM头信息，把图像文件按照树的结构分装在各个文件夹中。-according to the first DICOM information, and image files in accordance with the structure installed in various sub-folder.

用VC实现将图片处理转存为C、H或TXT等文本文件，数据格式按液晶模块LCD12864显示要求，可方便单片机实现将图片显示到128X64液晶模块上。-VC realize with a picture to keep for treatment C, H or TXT text files, etc., data format displayed by the LCD module LCD12864 requirements, can be easily single-chip microcomputer to realize the picture shows 128X64 LCD module.

人脸识别源代码，经过修改，希望对大家有一些参考价值。-face recognition source code, a result of the revision, we hope to have some reference value.

：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.