image2segy

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)

鱼眼图像校正并将校正后的图像转换成鸟瞰图，即俯视图，纯C代码，没有调用其它库(fish eye image correction,then change it to bird s eye view)

图像识别算法，使用点阵方式识别图片，借用Tessnet2.zip 组件，用来进行图片文字/图片数字识别(Tessnet2.zip use to be Image recognise)

灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。(GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m missing documents, and a gray level co-occurrence matrix feature extraction through the matlab program (a total of more than 20 features), can be based on his method to extract from the GLCM features you need.)

说明：  计算凸包面积，点集Q的凸包是指一个最小凸多边形，满足Q中的点或者在多边形边上或者在其内。(Calculate convex hull area。The convex hull of point set Q is a minimum convex polygon, to meet the Q of the point or polygon or in its inside edge)

说明：  目前一种快速稳健的卷积神经网络yolov3的代码，在protorch平台上运行(At present, the code of yolov3, a fast and robust convolutional neural network, runs on the platform of protorch)

说明：  图像匹配的的原图和目标图片，很实用的，欢迎下寨(image matching the maximum and objectives of the pictures, very practical and welcome Xiaqian)

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)

JPEG2000自己编写的代码，与标准版有所不同，里面有详细注释，可以运行(Own code JPEG2000 Standard Edition is different, there are detailed notes, you can run)

Digital image processing 2nd edition