重力正演模型

很好用的图像分割方法，大家可以试一下，我运行过了(Very good segmentation method, very useful, you can have a try, I used the effect is very good)

python语言，使用卷积神经网络的特征做图像检索(image retrieval using CNN)

改进的图像分割算法：运用SLIC超像素分割和DBSCAN聚类算法相结合的方法实现图像分割(Image Segmentation using SLIC SuperPixels and DBSCAN Clustering)

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.)

直方图均衡化的几个改进算法程序：BBHE,DSIHE,MMBEBHE(Several improvements histogram equalization algorithm: BBHE, DSIHE, MMBEBHE)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

说明：  对图像进行插值，以提高分辨率，计算效率较高(The image is interpolated to improve the resolution)

说明：  基于MATLAB，对逐日的sst遥感数据做月平均并制作gif动图(Based on MATLAB, the daily SST remote sensing data are averaged monthly and the GIF map is made)

说明：  基于互相关的图像匹配算法，可以在图像精确找到匹配图像！(Cross-correlation-based image matching algorithm, you can find a matching image image accurate!)

根据icip会议2005年度的一篇文章编写的matlab程序。包含有效果图。 运用smqt（连续均值量化变换）算法进行灰度图像增强。它比传统方法（直方图均衡化处理）的优点在于可以保证增强后图象的直方图波形不变，可以展现图象的底层结构，自动集中改进图象细节。是一种新的效果更好的灰度图象增强算法。(under icip 2005 annual meeting of an article prepared by the Matlab procedures. Includes map results. Smqt use (continuous quantitative mean transform) algorithm for gray-scale image enhancement. It is superior to the traditional method (histogram equalization processing) has the advantage can guarantee enhanced image histogram waveform unchanged. able to display images of the bottom structure, automatic focus on improving image details. Is a new and better results gray image enhancement algorithms.)