2-evaluation-and-analysis-of-NSCT

MATLAB图像处理，直方图均衡和一些基本的滤波器（包括中值滤波器）。(MATLAB image processing, histogram equalization, and some basic filters.)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )

这个文件包里包含了几乎所有的聚类的工具箱，包含采用混合高斯模型的运动物体检测方面的源代码。(This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.)

利用TMS320VC5509A为核心的DSP处理硬件,通过软件实现自适应Notch滤波和瞬时频率序列方差检测(VIRD)运算,在较低信噪比使用条件下完成对单频测距信号的可靠检测和判定(Using tms320vc5509a DSP core processing hardware, adaptive notch filter and variance of instantaneous frequency sequence detection (Vird) operation is realized by software, in low signal to noise ratio under the conditions of use complete reliable detection of single frequency ranging signal and judging)

用yolo算法检测到的视频目标，用kalman滤波算法进行多目标跟踪，程序需修改一些路径。(Yolo algorithm is used to detect video targets, Kalman filtering algorithm is used to track multiple targets, and the program needs to modify some paths.)

CBIR系统中采用的tamura纹理特征计算程序(Tamura texture features used in CBIR system calculation program)

双边滤波器，对彩色图像进行处理，效果非常好！(bialteral filter)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

说明：  边缘检测是图像处理和计算机视觉中的基本问题，边缘检测的目的是标识数字图像中亮度变化明显的点。图像属性中的显著变化通常反映了属性的重要事件和变化。这些包括（i）深度上的不连续、（ii）表面方向不连续、（iii）物质属性变化和（iv）场景照明变化。边缘检测是图像处理和计算机视觉中，尤其是特征提取中的一个研究领域。 一阶:?Roberts Cross算子，Prewitt算子，Sobel算子， Kirsch算子，罗盘算子； 二阶： Marr-Hildreth，在梯度方向的二阶导数过零点，Canny算子，Laplacian算子。(Edge detection is a basic problem in image processing and computer vision. Significant changes in image attributes usually reflect significant events and changes in attributes. These include (I) discontinuities in depth, (ii) discontinuities in surface orientation, (iii) changes in material properties, and (iv) changes in scene lighting. Edge detection is a research field in image processing and computer vision, especially in feature extraction.)

关于图像分块压缩感知，及测量矩阵加权的三篇文章(Three articles on the image block compressed sensing, and measurement matrix weighted)