LBP

说明：  SAR影像单视数据转为多视数据，数据间相互转化，快捷处理SAR数据(Single-look SAR image data into a more visual data, data inter-conversion, fast processing SAR data)

本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码(This archive contains a sparse representation of image processing literature and related code)

相机标定源代码，包含张正友，Tsai等基于matlab的相机标定方法。(Camera calibration source code, including Zhang Zhengyou, Tsai camera calibration method based on Matlab.)

K均值图像分割，读入彩色图片，输出区域分割后的图片(K-means image segmentation, read full-color photographs, the output image after the region segmentation)

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. )

其中用到了 timer控件

利用matlab提取掌纹图像的感兴趣区域，ROI提取(Extract palmprint images using matlab region of interest, ROI extraction)

说明：  统一化LBP算子，作为一种有效的纹理描述算子，对图像局部纹理特征有卓越的描述能力，有很强的分类能力、较高的计算效率，并且对单调的灰度变化具有不变性。(Unified LBP operator, as an effective texture description operator, the local texture features for image description is outstanding ability, strong classification ability, higher efficiency, and to the monotonous gray scale invariant .)

基于颜色的图像检索，将RGB转化成ＨＳＶ的方法(Color-based image retrieval, the method of RGB into HSV)

说明：  Hu的七个不变矩在图像匹配检索中适用广泛。本代码仅计算图像间Hu的七个矩的D2大小，直观的了解Hu矩的应用(seven moment invariants in image retrieval in the application of broad match. Only the calculation of the code between the image of the seven Hu moments D2 size, intuitive understanding of the application of Hu Moment)