feature-selection

Dijkstra’s算法的实现,还有具体的实验报告,欢迎下载()

Iris数据集，计算协方差矩阵和相关系数矩阵和kl变换(The goal of this programming experiment is to: Calculate the covariance matrix and the correlation coefficient matrix of the Iris data set. Perform the Karhunen-Loeve transform on this data set.)

经典CT图像处理算法，卷积反投影算法,欢迎使用(Classical CT image processing algorithm, convolution inverse projection algorithm)

小波分辨边缘，但是要自己加工一下。可以读取RGB转化为灰度图像。(Wavelet-resolved edge, but to look at their own processing. RGB can be read into a gray image.)

说明：  SRM空间富模型隐写分析算法,选区高维特征，使用集成分类器进行训练(Spatial Rich Model Steganalysis Algorithms, Selection of High-Dimensional Features, Using Integrated Classifier for Training)

实现图像小波分解，可以自行指定分解级数，采用daubenchies小波(Achieve the wavelet decomposition, you can specify the decomposition of their own series, using wavelet daubenchies)

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (1-32 is: the application of articles 33-66 graphics is: interface design articles 67-84 is: graphics processing chapter 85-100 are: Numerical Analysis Section)

说明：  连通监控视频的 火灾检测，颜色特征，纹理特征等(fire detection Description for each code - extract_red.m, objectlabel.m : Ground Truth labeling automation code generated from Apps - FireDetection.m : MATLAB class to import custom algorithm to Image Labeler - yolov2_detect.m : Entry function for GPU Code generation - GroundTruthTest.mlx : Test code for ground truth labeling - yoloFire_Train.mlx : Training code for YOLOv2 network - Live_Webcam_YOLOv2.mlx : Live webcam demonstration code for YOLOv2 network)

C++调试的背景的颜色改为比较对眼睛好看的颜色呢(C++ debugging change the color of the background of relatively good-looking colors for the eyes)

说明：  GVF snakes. 最近学习用到的code，可以帮助图像处理入门级的学生了解GVF snake的实现。(GVF snakes. Recent study used the code, image processing can help entry-level students to understand the realization of GVF snake.)