lianmazhixianjiance

近期成果，与大家分享：奇异值分解、小波降噪、zoom细化 谱峭度 和滤波器设计，共勉(Recent achievements to share with you: singular value decomposition, wavelet noise reduction, zoom refined spectral kurtosis and filter design, encouragement)

本程序包是关于图形处理和人脸识别的,包括人脸Gabor特征提取，canny算子，水线阈值方法等．大家可以一起参考(The package is on the graphics processing and face recognition, including face Gabor feature extraction, canny operator, waterline threshold methods. Together we can make reference)

红外焦平面探测器输出图像信噪比计算和分析(Infrared focal plane image detector output signal to noise ratio calculation and analysis)

区域图象分割的源码，基于区域增长的分割的代码(Image segmentation of the source region, regional growth based on code division)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

通过数字图像相关的方法计算两幅图像之间的位移，计算时间较长，是最基础的DIC，没有优化。(Digital image correlation method to calculate the displacement between the two images, the time is longer, is the most basic DIC, no optimization.)

利用visualC++和图像处理的知识，编写程序对果蔬进行自动识别(Using visualC++ and image processing knowledge, write a program for automatic identification of fruits and vegetables)

求图像峰值信噪比，可以用于图像质量的评估。(Peak signal to noise ratio for images that can be used for image quality assessment.)

《信息隐藏实验教程》源代码，希望对大家有所帮助(" Information Hiding experimental course," the source code)

直方图的计算与显示分析图像、物体和视频信息过程，我们常把看到的物体用直方图（histogram）表示，直方图可以用来描述各种不同的事情，如物体的色彩分布、物体边缘梯度模板，以及表示目标位置的概率分布(Calculation and analysis of the histogram display images, objects and video information process, we often see objects with the histogram (histogram) indicates, the histogram can be used to describe a variety of different things, such as the color distribution of objects, object edges gradient templates, and the probability distribution of the target position)