4.image-fusion-algorithm

遥感图像的色彩变换 能从IHS转换到RGB 并能从RGB转换到HIS 效果比较好(Remote sensing images from the IHS color transform to the RGB and the conversion from RGB to HIS conversion effect is better)

基因演算法, ~和吃飼料的演算法, e面的 ~吃到飼料會越來越快,(The genetic algorithm, the algorithm for eating feed, the e-plane algorithm for eating feed is getting faster and faster.)

说明：  用于EEG脑部图像网络绘制的matlab程序包(Matlab package for EEG brain image network rendering)

自己写的双阈值分割算法，可以用在多个场合(Write their own dual-threshold segmentation algorithm can be used in a number of occasions)

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.)

采用卡尔曼滤波算法进行视频序列图像的跟踪，这个程序从简单易懂的角度实现了视频目标的跟踪。(Kalman filtering algorithm for video sequence image tracking, this process from the perspective of straightforward realization of the video target tracking.)

一个很好用的bmp图像转protelPCB封装库，如果有需要在pcb中插入图像，汉字的朋友可以下载(bmp to protel99，it s a good tool，welcom to download)

轻量级的MTCNN实现，无需caffe和tensorflow基本库支持，内部实现卷积运算，速度比普通mtcnn要快一倍。

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)

以多光谱数据为原始数据，通过空间变换、滤波、融合、纹理及图像处理等手段，提取遥感图像多维、多尺度特征，最终建立面向目标检测、识别和分析的特征空间，并使用NASA的实测数据对方法的性能进行验证和分析。(Multi-spectral data to the original data, through space conversion, filtering tools, integration, texture and image processing, remote sensing images to extract multi-dimensional, multi-scale features, for the eventual establishment of target detection, identification and analysis of the characteristics of the space, and measured using NASA performance of the method for data verification and analysis.)