xpvtkbook_compressed[1]

找待选物体图像的长轴位置(find objects to be elected to the long axis image location)

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.)

用小波变换多分辨对脑电慢波P300信号的特征提取(wavelet EEG P300 feature execute)

输出一个具有一定大小的双三角形，该三角形中间最小(Output of a certain size with a double triangle, the triangle between the minimum)

官方出版的opencv教程，学习opencv必备。(Officially published opencv tutorials are essential for learning.)

自适应阈值算法将前景从背景中分离出来包括非均匀光照。(Adaptive threshold algorithm to the prospect of separating from the background, including non-uniform illumination.)

基本图像处理用C++的实现。包括平移旋转翻转边缘提取canny算子等(The basic image processing with C + +.)

说明：  基于Landsat8卫星影像数据，在GEE平台中的监督分类(Supervised classification based on landsat8 satellite image data in GEE platform)

能实现最小包围盒法方格划分，并利用中值进行点云精简(The minimum bounding box method can be implemented and the median value can be used to simplify the point cloud.)

这是关于图像区域生长的源码，希望对这方面的人有所帮助(This is on the source image region growing, I hope people in this area help)