pca

说明：  图像自适应阈值分割，基于直方图的图像阈值分割(Image adaptive threshold segmentation)

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.)

提出一种新的基于分支结构特征的视网膜图像配准方法，此算法可降低误匹配的点。能够应用到其他图像配准中，形成良好的等级结构。(Feature-Based Retinal ImageRegistration Using Bifurcation Structures)

基于彩色图像的加密方法，其中采用的是图像置乱加密的算法(Based on color image encryption method, which USES the image scrambling encryption algorithm)

图形学DDA算法(graphics algorithm)

词袋模型，非常好的参考，有详细说明，希望顺利使用。(The bag of words model, a very good reference, there are detailed instructions, hope to use smoothly.)

将一个灰度图像分解成为八个位平面 然后再合并起来 可以对每一个位平面实现不同的处理(A gray level image is decomposed into eight bit plane and then combined to each bit plane to achieve different treatment)

克里金插值法实现二维和三位等高线的绘制功能,()

mode purity method simulation

应用小波变换 模极大值算法实现医学图像（CT图像和MRI图像）的融合(Wavelet transform modulus maxima to achieve medical image fusion)