MedicalImageProcessing

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

该仿真程序实现可见光图像和红外图像的融合，(The visible light image and infrared image fusion )

详细设计了基于颜色直方图的图像检索 效果不错 计算速度快(Detailed design of the color histogram-based image retrieval good results fast calculation)

insar图像数据，envisat卫星单视复数数据，可在matlab中直接打开(insar data, envisat single look complex data, which can be opened directly in matlab)

基于opencv的相机单目标定程序，很好的学习资源，做图像矫正的可以看看~(Opencv based on a single target of the camera program)

BEMD对图像进行分解 Detailed two-dimensional empirical mode decomposition (BEMD decomposition of the image)

GUI的指纹特征提取,其中用到的处理函数可以自己编写，也可以直接使用Matlab的库函数(Fingerprint character extract in GUI form, within which the functions can be either designed by users or apply the available functions in Matlab)

使用admm算法解决lasso_lsqr问题，matlab代码( U4F7F u7528admm u7B97 u6CD5 u89E3 u51B3lasso_lsqr u95EE u9898 uFF0Cmatlab u4EE3 u7801)

分层树分割算法的Matlab实现，除编码和解码外，还附有熵编码程序，供研究图像处理的朋友参考使用。(hierarchical tree segmentation algorithm Matlab, in addition to encoding and decoding, but also with entropy coding procedures, Image processing research for a friend use and reference.)

主成分分析ppt。对主成分分析的细节讲述的很清楚。(Principal component analysis ppt. The details of the principal component analysis described in very clear.)