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详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

使用QT编程实现2D图像处理的各功能，包括彩色图转灰度、二值化、二值的形态学操作、灰度的形态学操作等等。(Using QT programming each 2D image processing functions, including color conversion grayscale, binary, binary morphological operations, grayscale morphological operations and so on.)

LLC做的图像分类算法，非常经典的图像分类算法。属于Bag-of-Feature模型，采用的是SIFT特征描述组。(LLC do image classification algorithm, belonging to the Bag-of-Feature model using the SIFT descriptor group)

W.T.Freeman 经典 基于例子的超分辨率重构matlab源码，图片自己可加，经测试可用(WTFreeman classic example of super-resolution reconstruction based on matlab source code, images themselves can be added, the test can be used)

说明：  基于小波变换的水下图像目标检测论文加matlab实现代码(Wavelet-based underwater image target detection papers plus matlab code)

利用形态学的腐蚀运算提取图像边界 编写细化算法提取骨架的程序(Using morphology corrosion operation to extract image edgePreparation of thinning algorithm to extract the skeleton program)

about algorithms of image enhancement processing

说明：  能够实现对生物芯片的识别和图像处理，识别有效芯片区域，读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)

各个坐标系之间的坐标变化：地心大地坐标到地心空间大地直角系，地心系和测站系，测站系和测站系等之间的变化，旋转，平移。(Coordinate changes between the various coordinate systems: geocentric geodetic coordinate system to the geocentric Cartesian space earth, geocentric system and station lines, change the station, such as lines and lines between stations, rotation, translation)

图像融合的质量评价指标，每个文件都有详细说明，每个指标都有相应的论文出处。亲测，可以使用。(Image quality uation of fusion, each file has a detailed description of each indicator has a corresponding paper source. Pro-test, can be used.)