瞳孔定位

局部二进制模式，LBP，是已被用于纹理特征的一个 分类。在本文中，提出了一种基于使用这些功能的方法 检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是 施加到无缺陷织物样品，逐个象素和参考的所有的行（列） 特征矢量的计算。那么这个图像被分为Windows和LBP算子是 应用这些窗口的每一行（列）。根据与参考比较 特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个 测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以 检测到。该方法简单，灰度不变。由于其简单性， 线上实现是可能的。(Local Binary Patterns, LBP, is one of the features which has been used for texture classification. In this paper, a method based on using these features is proposed for detecting defects in patterned fabrics. In the training stage, at first step LBP operator is applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference feature vector is computed. Then this image is divided into windows and LBP operator is applied to each row (column) of these windows. Based on comparison with the reference feature vector a suitable threshold for defect free windows is found. In the detection stage, a test image is divided into windows and using the threshold, defective windows can be detected. The proposed method is simple and gray scale invariant. Because of its simplicity, online implementation is possible as well. )

FLICM一种基于模糊局部信息C均值聚类方法，是对传统FCM聚类方法的最近改进方法，具有更强的鲁棒性，效果明显优于传统算法。(A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.)

阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)

Lee的经典的多分辨率B样条拟合方法（multi-level B-spline fitting）的VC源代码。广泛应用于图形图像处理，CAD等领域。(Lee s classic multi-resolution B-spline fitting method (multi-level B-spline fitting) of the VC source code. Widely used in graphic image processing, CAD and other fields.)

基于图像处理的识别技术，对扑克牌的自动识别，效果很好。(Recognition technology based on image processing,automatic identification of playing cards, the effect is very good. )

图像处理中经常要用到的提取方向特征的gabor滤波程序(gabor filter map)

hough变换，用于直线和圆，椭圆的检测，很实用(hough transform for line and circle, ellipse detection, it is practical)

采用SVD方法进行人脸特征提取,希望对大家有用(SVD method using facial feature extraction, in the hope that useful to everybody)

高斯混合模型的源代码。从文件中读取数据，用三个高斯混合模型进行处理(Gaussian mixture model of the source code. Read from the file data, using three Gaussian mixture model for processing)

基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.(Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manually adjust the threshold HSV, showing foreground, background, reaction projection. Development tools are VS2008, OPENCV)