matlab_watermark

hough变换是图像处理中一种方法，该文件是用matlab语言实现的hough变换，但未使用matlab提供的函数，可以用于hough变换的学习和掌握。(hough ??换 是??像 )

说明：  利用kmeans方法进行图像分割的matlab代码，希望对大家有用(Kmeans method using image segmentation matlab code, in the hope that useful)

基于块的OMP算法，相对传统的OMP算法速度很快！(Batch-based OMP algorithm,execution quickly than the comman OMP algorithm.)

利用滑模变控制去实现风机的最大功率跟踪。基本原理是控制tip-speed ratio(The use of Sliding Mode Variable fan control to achieve maximum power tracking. The basic principle is to control the tip-speed ratio)

基于纹理分析的图像分割用滤波实现，需要先输入参数。％The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes (Based on Texture Analysis for Image Segmentation with filtering to achieve, need to input parameters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes)

胶囊缺陷检测，通过图像处理，排除缺陷，检验胶囊是否合格(Capsule defect detection by image processing, eliminate defects, inspection capsules are qualified)

ROS CODE TO PUBLISH A LOCAL IMAGE

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. )

说明：  二值化程序：实现自适应二值化。效果较好，二值化后图片较清晰(Binarization process: the realization of adaptive binarization. Better, after binarization clearer picture)

图像加密算法本文讨论了基于现代密码体制的图像加密、基于矩阵变换的图像加密、基于混沌的图像加密、基于秘密分存的图像加密、基于频域的图像加密、基于ＳＣＡＮ 语言的图像加密和基于 ＤＮＡ 计算的图像加密等主流图像加密算法的加密原理、优缺点和最新进展(This paper discusses image encryption algorithm based on modern cryptography, image encryption based on matrix transform, image encryption based on chaotic image encryption based on secret sharing based on frequency domain image encryption, image encryption, image encryption based on SCAN language and DNA based on the calculation of image encryption and other mainstream image encryption algorithm, encryption principle the advantages and disadvantages and the latest progress)