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说明：  XYZ视频图像压缩编码的应用原理与实际生活应用 (XYZ video image compression encoding)

一个人写的sift代码，matlab实现，比起原作者的效果差些，但是也不错。（原作者没有公开源码）()

斐波那契数的实现算法及分析,标准化实验报告样本()

博士论文，分数阶微积分在现代信号分析与图象处理中应用给出了详细的分析和探讨，论文覆盖面广，有着很多的实验结果和详尽的分析。(Ph.D. thesis, fractional calculus in a modern signal analysis and image processing application gives a detailed analysis and discussion, research papers covering a wide range, has a lot of experimental results and detailed analysis.)

MODIS图像批量镶嵌拼接方法（IDL/ENVI）(modis mosaic)

投影积分数字重聚焦，光场相机重聚焦。重聚焦原理。(Integral digital projection refocusing, refocus light field camera. Refocusing principle.)

运用GVF snake进行图像分割。效果好，可用于学习借鉴。(image segmentantion based on GVF snake.)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

说明：  结合Retinex和CLAHE图像去雾，Retinex有ssr，msr，msrcr。(Combine Retinex and clean image to remove fog)

颜色特征提取，为matlab 源文件，是底层图像处理的基本特征之一，是本人在做硕士论文时收集修改的代码(Color Feature Extraction for the matlab source file, the underlying image processing are one of the essential features)