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将RGB彩色空间转换到HSI彩色空间，HSI彩色空间更接近人眼对彩色的认知。(The RGB color space conversion to the HSI color space, HSI color space is closer to the human eye color perception.)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)

人脸识别手册，在里面详细的介绍了关于人脸检测的相关知识。不过是全英文的，如果有英语比较好，时间比较多愿意翻译这本书的人请留言。(Face Recognition manual inside detail on the face detection of the relevant knowledge. But is English, if English is better, more time is willing to translate this book, please post.)

几篇关于基于粒子滤波的检测前跟踪论文。中文英文都有。(Some papers are about PF-TBD， it is very useful in track before detected. )

压缩感知重建算法,利用压缩感知理论实现用较少的采样量恢复出高分辨率的图像信息(compressive sensing reconstruction algoriyhm)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

说明：  人眼定位的matlab代码，使用模板匹配的方法实现(Eye location matlab code, using the template matching method)

这段代码的功能是实现图像去雾处理，Matlab代码，可以直接运行的(Functionality of the code is to realize image processing demisters Matlab code can be run directly)

轮廓特征提取，是图像处理中底层特征中的一个重要参数，是我硕士论文中的代码(Contour feature extraction, image processing are the underlying characteristics of an important parameter, is my master' s thesis in the code)

计算图像的平均梯度，边缘强度，信息熵以及方差，图像质量评价(The average gradient calculation image, edge strength, entropy and variance, image quality assessment)