Image Compression(v.2)

一种基于可逆信息隐藏的的无损鲁棒数字水印模型的研究(Study on framework model of lossless robust digital watermarking based on reversible data hiding)

數據繪圖時候有時候必須處理資料矩陣轉向，該編碼詳細說明如何處理矩陣在三維度空間下進行轉向，而不是利用Curve Fitting Tools(Data drawing sometimes has to deal with the data matrix steering, which details how to handle the matrix to steer in a three-dimensional space instead of using Curve Fitting Tools)

运用于人脸图像预处理中，主要实现功能有：人脸检测，人脸对齐，人脸图像放缩，人脸剪切。(Applied to the face image preprocessing, the main features are: face detection, face alignment, face image zoom, face cuts.)

说明：  matlab生成的fig图纸转换为DXF文件(Converting fig drawings generated by MATLAB into DXF files)

实现图像的二阶巴特沃斯(Butterworth)低通、高通滤波器，高斯低通、高通滤波器(Butterworth LPF、Butterworth HPF、Gaussian LPF、Gaussian HPF)

用matlab写的人脸检测代码,具有很好的识别率，对做人脸识别，检测的研究有一定的帮助(the code is used to face detaction and it has a high rate.It is very useful for the search of face detaction )

超高斯光束在自由空间中的衍射传播，利用角谱理论。(Super-Gaussian beam diffraction propagation in free space, the use of the angular spectrum theory.)

基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。(Feature extraction of specified object is an important preprocessing stage in machine vision systems. In this paper, we present a novel hybrid feature extraction method using PCNN (Pulse Coupled Neural Network) and shape information. First, we use PCNN firing map train to formulate object’s time signature, then we use roundness of each firing map to formulate object’s shape information vector, the final feature matrix we got is combined time signature and roundness. We take correlations as our judge criteria in our experiments. It has been proved that the algorithm is not sensitivity with the rotation, scaling and translation of the object and is a useful method for target recognition applications.)

这是一个数字模糊处理的算法论文!很好很经典(Number obfuscation algorithms! Good classic)

说明：  此代码是由FCM算法改变的且用于图像分割，比FCM算法对图像的分割的效果更好(This code is changed by FCM algorithm and is used for image segmentation, which is better than FCM algorithm for image segmentation)