interp

函数visreg能够自动处理两幅对准图像的大小以及像素等细节问题，从而半透明地在另一幅图像上显示一幅图像。(Function visreg can automatically deal with the size of two aligned images and details such as pixels, thus displaying an image in another image in a semitransparent way.)

包括影像预处理，叶绿素反演，水污染监测等功能(Including image preprocessing, water pollution monitoring and other functions)

说明：  一个很有用的Markov Decision Process matlab程序(a very useful Markov Decision Process procedures Matlab)

说明：  考虑DCT阈中量化效应，采用8X8的DCT模板，选择量化步长，结合缩放因子进行图像压缩。(Considering the quantization effect in DCT threshold, we use the 8X8 DCT template, select the quantization step, and combine the scaling factor to compress the image.)

说明：  利用matlab对图像进行处理，通过形态学开闭运算，实现对光照不均匀啤酒瓶图像进行准确计数(The image is processed by MATLAB, and the image of beer bottle with uneven illumination can be counted accurately by morphological opening and closing operation)

模糊C均值分类，用于图像处理中 很好用的，极力推荐 (Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend)

LSB信息隐藏算法，就是通常把信息隐藏在图像像素的最后一位，可能对你们有帮助(LSB information hiding algorithm, the information is usually hidden in the image pixels of the last one, you may have to help)

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.)

Dijkstra’s算法的实现,还有具体的实验报告,欢迎下载()