HighlightFeatures_Object

单尺度SSR(Single Scale Retinex)(A Retinex Function)

基于PCA的人脸识别历程，包含PCA的算法，用MATLAB实现的。(face recognition based on PCA)

一个基于qt界面的简单的itk读入，vtk显示的示例，包括中值滤波等简单图像处理功能。(a example of reading itk and display with vtk)

傅里叶变换可以有效的说明傅里叶变换的基本步骤(kkkfuliyebianhuan)

几种基本的CFAR检测方法的比较，各种杂波背景分布的参数估计方法等等(Comparison of basic types of CFAR detection method, a variety of clutter distribution parameter estimation methods, etc.)

数学建模，动态模糊与模糊图像处理，维纳滤波方法。(Mathematical modeling, dynamic fuzzy and fuzzy image processing, Wiener filtering method.)

采用平均图像融合算法，设计并实现基于小波变换的图像融合算法（选择同一场景的三对可见图像、红外图像或SAR图像进行试验）(Average image fusion algorithm is adopted to design and implement image fusion algorithm based on wavelet transform (three pairs of visible images, infrared images or SAR images of the same scene are selected for testing))

输入两幅大小等已配准相同的图像，计算两幅图像的结构相似度，可以应用于图像各种处理，基于人类视觉，是一个很好的图像相融合质量评价效果(Enter two sizes, etc., have the same image registration, two images to calculate structural similarity, may be applied to a variety of image processing based on human vision, it is a very good image quality uation of the effect of integration)

说明：  实现了基于关键像素点的FLICM图像分割算法，关键像素由局部最大值方法提取。(A FLICM image segmentation algorithm based on key pixels is implemented. Key pixels are extracted by local maximum method.)

在学习了数字信号处理、信号与系统、建模与仿真及其医学应用等课程的基础上， 学习一类典型的生物医学信号--脑电的测取、FFT 频谱分析、以及应用数字滤波方法提 取脑电的频带（8－13Hz）信号及其特性分析。(Epilepsy section of the brain wave extraction and analysis of characteristics of the course design report )