colorhist

说明：  利用matlab实现不同曝光成度的图像融合，matlab实现HDR功能(Using matlab to realize image fusion with different exposure degrees, and using MATLAB to realize HDR function)

LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)

进行图像去噪的小波变换源程序，多重小波分解(Image Denoising the wavelet transform source code, multiple wavelet decomposition)

基于最优小波包的特征提取 大家可以参考 基于最优小波包的特征提取 大家可以参考基于最优小波包的特征提取 大家可以参考(Based on best wavelet packet feature extraction we can refer to based on best wavelet packet feature extraction we can we can refer to reference based on best wavelet packet feature extraction)

SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题(SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems)

基于纹理及光谱信息融合的遥感图像分类方法研究，硕士论文，有关纹理和遥感图像分类很好的学习素材(Texture and spectral information based on the integration of remote sensing image classification method, master' s thesis, the classification of remote sensing image texture and good learning material)

首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

在复杂背景下的多目标检测算法的研究与源代码(In the complex context of multi-target detecting algorithm and source code )

说明：  ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高 噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波 系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回 波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors， the useful signals and the high noise signals are combined together，which seriously affects the distance measurement precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals．Its precision is higher than that of the adaptive filtering method．)

关于超分辨率图像恢复的凸集投影算法，运行结果正确。(code about super-resolution based on POCS)