Huangtu

采用基于LSB的随机图像隐藏技术实现将一幅图像（目标图像）隐藏到另一幅图像（载体图像）中。包含目标图像yctx.bmp，载体图像Miss.bmp，图像隐藏代码randlsbimghide.m文件，图像读取代码randlsbimgget.m文件，随机位选择代码randinterval.m文件。(LSB-based technique of random images to achieve a hidden image (object image) to another piece of hidden images (vector image) in the. Includes target image yctx.bmp, vector image Miss.bmp, image hidden code randlsbimghide.m file, image file reading code randlsbimgget.m, random bits select the code randinterval.m file.)

说明：  利用小波包分解对一个二维含躁图像进行去噪处理(Using Wavelet Packet Decomposition to Denoise a Two-Dimensional Fidgety Image)

很简单的基于颜色的图像检索系统，闲时做的(Very simple color-based image retrieval system at leisure to do the)

高斯分布二维的数据的产生和画图函数，供数据仿真分析用(Two-dimensional Gaussian distribution of data generation and drawing functions, for simulation data analysis)

基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码(EM-based Markov random-ICM image segmentation procedures, good learning code)

在信号与系统中，用希尔伯特变换对最小相位信号的实部和虚部进行相互变换，同时包含连续时间傅里叶变换(CTFT),反连续时间傅里叶变换（ICTFT），离散时间傅里叶变换（DTFT），反离散时间傅里叶变换（IDTFT）的程序(In signal and system, transform the real and imaginary part of the signal with minimum phase using Hilbert Transform. CTFT,ICTFT,DTFT and IDTFT are also included.)

Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.(Compression of face images impact the perf ormance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintai ns high image quality in facial regions while co mpressing the background more, with minimal impact on FR performance.)

一种改进的基于整合空间的模糊聚类的水平集分割方法，分割效果比较好(An improved integration of space-based level set of fuzzy clustering segmentation, segmentation is better )

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

利用改进的经验模态分解方法检测QRS波群(The improved empirical mode decomposition method detection QRS complex group)