optNESS

这是一种彩色图像去雾算法，可以识别物体的轮廓，但是同时也会加强这些轮廓，虽然去雾效果不错，但是会加强轮廓！(This is a color image to fog algorithm can identify the contours of the object, but will also enhance the outlines, although to fog effect is good, but will strengthen the profile!)

图像颜色特征的提取：HSV颜色直方图 描述的是图像的整体颜色情况。本程序采用非均匀量化方法得到36bin的颜色直方图。(Image Color Feature Extraction: HSV color histogram describes the situation of the image' s overall color. This procedure using non-uniform quantization method the color histogram 36bin.)

LSD直线检测算法的原理、步骤、结果文字资料以及具体程序实现(The LSD line detection algorithm principle, the steps of text information as well as specific procedures to achieve)

计算四个方向的灰度共生矩阵，将其作为纹理特征，是一种纹理特征提取算法。(Calculation of the four directions of Gray Level Co-occurrence matrix as texture features, is a kind of texture feature extraction algorithm.)

说明：  对灰度图象进行正交变换,并进行滤波,产生平滑图象(Gray-scale images of the orthogonal transformation, and filtering to produce a smooth image)

说明：  该文件可以读取MRI raw data，磁共振指的是自旋磁共振（spin magnetic resonance）现象。其意义上较广，包含核磁共振(nuclear magnetic resonance, NMR)、电子顺磁共振（electron paramagnetic resonance, EPR）或称电子自旋共振（electron spin resonance, ESR）(The file can read MRI raw data, Magnetic resonance refers to the phenomenon of spin magnetic resonance. It is broader in meaning and includes nuclear magnetic resonance (NMR), electron paramagnetic resonance (EPR) or electron spin resonance (ESR))

张正友标定法,标定图像，将图像进行校正，是当今用的最多的方式方法(This method is so good, I have transferred through this. And it is very useful for the IT workers. This is my first code. Thank you every one.)

用SLM法降低PAPR的CCDF,调用SLM函数来实现，毕业设计很有用的源代码(SLM method used to reduce PAPR of the CCDF, call the SLM function to achieve graduation design of the source code is useful)

关联下载,用于灰度相似度说明,欢迎下载使用,我感觉最好开源比较好(Download link for the gray-scale similarity shows that the use of welcome to download, I feel the best open source is better)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)