移动目标检测

官方版SaliencyToolbox最新版本，对加载图片进行视觉注意机制的显著性运算，压缩包内含多张素材图片(The latest version of official version SaliencyToolbox of, load the image of the visual attention mechanism, a significant sex operator, compressed packets containing more than one material picture)

将获取图像分块成10*10，并合成列向量的矩阵(Will acquire an image block into 10* 10, and matrix synthesis column vector)

改进非极大抑制的CANNY算子检测代码，能够比原来的CANNY算子更准确(Improved CANNY operator detection code for non-maximal suppression can be more accurate than the original CANNY operator)

说明：  JPEG2000 的一个实现，期中，wavelet.dll是提供的功能接口。(An implementation of JPEG2000, period, wavelet.dll is to provide a functional interface.)

说明：  ENVI+C#二次开发环境搭建 主机操作系统：Windows10_x64 C#编辑器：Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5(ENVI+C#secondary development environment construction operating system:Windows10_x64 IDE:Microsoft Visual Studio 2012 Ultimate ENVI5.3 SP1 win64+IDL8.5)

digital color image watermarking based on dct-svd usinf differential evolution

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

多目标跟踪算法SORT开元代码，实现实时在线跟踪(Multi target tracking algorithm SORT code, Real time online tracking)

本代码实现了基于卡方分布(nakagami 分布)的恒虚警检测(CFAR)，通过在查找表的形式，实现参数估计和阈值估计，完成对目标的检测。(The code based on the chi-square distribution (nakagami distribution) of the CFAR (CFAR), through the form of a lookup table to achieve the threshold parameter estimates and estimates to complete the target detection.)

方向梯度直方图（Histogram of Oriented Gradient, HOG）特征,计算机视觉和图像处理中用来进行物体检测的特征描述子的实现(Histogram of oriented gradients (Histogram of Oriented Gradient, HOG) characteristics, computer vision and image processing used for object detection feature descriptor realization)