imfill

基于K均值算法和互信息熵差的算法，可以有效地确定分类数,从而该算法对医学图像进行自动优化分割。(K means algorithm based on entropy and mutual information algorithms, can effectively determine the classification number, so that the algorithm for automatic optimization of medical image segmentation.)

不错的SVM实现算法,采用的是LS-SVM算法,这是C版本,还有一个MATLAB版本(A good SVM implementation algorithm, using the LS-SVM algorithm, this is the C version, there is a MATLAB version)

说明：  基于混合高斯模型的背景减除算法实现。matlab代码。(Gaussian mixture model-based background subtraction algorithm. matlab code.)

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)

基于混沌的音视频加密系统的设计与实现论文；对混沌学习有帮助(Design and implementation of the chaotic audio and video encryption system)

matlab程序关于医学图像处理中的肺部分割的小例子，希望有帮助(matlab procedures regarding the medical image processing in the lungs of a small example of partition, I hope there is help)

可用于matlab 人脸检测，准确率较高。(It can be used in matlab face detection, with higher accuracy.)

运用core2.1的架构包来实现打开相机扫描二维、条形码的例子有详细的注释(Core2.1 use open architecture package to achieve the two-dimensional scanning camera, barcode examples detailed notes)

说明：  李春明于2005年提出的CLIC，一种对MR图像偏移场矫正方法(Li Chunming's CLIC in 2005, an offset correction method for MR images.)