Segmentation

针对红外图像特别是红外弱小目标的特点，提出一种基于双平台的直方图均衡算法。(The characteristics of the infared dim-small targets iamge was analyzed.A new contrast enhancement algorithm was presented based on double plateaus histogram equalization)

自己编译的小波矩特征提取matlab代码(Wavelet moment to compile the feature extraction matlab code)

一种带有自适应阈值和动态支持区域的CSS角点检测算法，其效果被认为优于目前所有的CSS角点检测算法和大多数的其他类型角点检测算法。(a curvature scale space corner detector with adaptive threshold and dynamic region of support, it is considered to be the one of the best corner detection algorithms.)

图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好(Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better)

对灰度图像建立高斯金字塔，可以调整核的参数。(Establish Gaussian pyramid for gray-scale images to , you can adjust the reduce parameters.)

图象的模糊边缘检测，用MATLAB实现的，有用户界面和检测结果！(Image fuzzy edge detection, implemented using MATLAB, user interface and test results!)

使用规定分布生成空间随机噪声，可以选择噪声类型和参数。(Using the prescribed distribution to generate spatial random noise, we can choose noise types and parameters.)

实现Matlab的SRAD(Speckle Reducing Anisotropic Diffusion)算法，用于超声图像的去噪。(Matlab implementation of the SRAD (Speckle Reducing Anisotropic Diffusion) algorithm for ultrasound image denoising.)

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 )

MSER代码，实现最大稳定极值区域提取，经测试可用(The MSER code to achieve maximum stable extremal region extraction)