MatLabToolbox

说明：  一个用matlab编写的源程序，可以实现基于颜色直方图的图像检索(A source code written with matlab, you can achieve the color histogram-based Image Retrieval)

多尺度Retinex去雾算法，能有效实现雾霾天获取的模糊图像去雾(Multi-scale Retinex defogging algorithm can effectively achieve defogging defogging)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)

ENVI中HDF5科学数据支持补丁,更新为一个SAV文件 ,放在安装目录的save_add文件 夹下，启动ENVI即可使用。(HDF5 scientific data in support of ENVI patches, updates to a SAV file on the installation directory save_add folder, start ENVI can be used.)

图像背景提取，Matlab写的，效果还不错。(Image background extraction)

进行图像的特征提取，为图像拼接做准备，matlab(Feature extraction of image)

说明：  多种图像去雾算法（何晓明暗通道去雾，基于中值滤波去雾，基于均值滤波去雾，基于导向滤波去雾，多色彩空间去雾）(A variety of image defogging algorithm (Xiaoming dark passage to fog, based on median filter to fog, defogging based on mean filter, filter-based guide to the fog, multi-color space to fog))

摘　要:舌象中的裂纹是中医舌诊中的重要内容。由于拍摄条件的不同,舌象质量有较大差异,传统的阈值选取方法并不 适用。文中提出一种舌象裂纹检测的自适应阈值选择方法。该方法利用舌象的L 3 a 3 b 色彩特征及区域的分裂- 合并, 对舌象进行区域分割,自适应地选取舌中部区域的色彩值作为阈值,对整个舌象进行裂纹提取。经验证,本方案对不同的 舌象能较好地提取出裂纹,实现舌象裂纹诊断的客观化。(Tongue’ s crack is a very important part of herbalist doctor diagnosis. For the different screen conditions , there are many differ2 ences on the tongue’ s quality. It is not effective to use the t raditional threshold ext raction algorithm. In order to solve this problem , pro2 pose a new adaptive threshold algorithm. Present the segmentation of the image of tongue by using the feature on tongue in the L 3 a 3 b color space and the split- combining algorithm. Then use the threshold , which is the color value ext racted automatically in the middle of the tongue , to detect the crack of the whole tongue. The experiments show that this approach is able to distill the crack effectively to different tongue images , and achieve the objectivity of the diagnosis based on the tongue’ s crack.)

对图像（Bmp）的智能读入界面设计，源代码(Read image (BMP), intelligent interface design, source code)

基于稀疏表示的多光谱图像融合源代码，用于pansharpening(sparse-based mutispectral image fusion)