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说明：  冈萨雷斯版数字图像处理， 第三版配套代码，可参考(Gonzalez Digital Image Processing third edition supporting code)

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. )

对特征值进行非极大值抑制的角点检测，并且选用了合适的阈值加强检测效果(corner detection by non-maxima suppression of Eigenvalues and selected the appropriate threshold to enhance detection)

利用摄像头工具箱标定得到的内部参数还原透视图像为“鸟瞰图”。本例中使用的图像时棋盘格。(Using the internal parameters obtained from the camera calibration toolbox. reducting perspective images as the "bird s eye view". In this case, use the image of the checkerboard.)

包滤波器，主要功能是在给定的滑动窗口大小下，对每个窗口内的像素值进行相加求和(Packet filter, the main function is given under the sliding window size for each window of the pixel values ​ ​ summed)

说明：  用matlab进行粒子滤波算法的源码，希望对大家有帮助了。(Carried out with particle filter matlab source code, and they hope to have helped everyone.)

click energie of image , we can use it to calculate markov field ... and other

Impulse response, system response, for signal processing

基于SIFT的一种新特征点匹配算法,比SIFT还强,(Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,)

说明：  机器视觉系统实例--颜色识别系统，matlab实现(Examples of machine vision systems- the color identification system, matlab achieve)