jpegdecode

mean shift进行图像分割的matlab代码 非常好用 可直接对灰度或者彩色图像进行分割(matlab code for image segmentation by mean shift)

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：  GI 鬼成像源代码,关联算法和一些数据读取存储等问题 的解决方案(ghost imaging code)

极化SAR图像中的将协方差矩阵数据进行PAULI分解的程序(Polarization SAR images will covariance matrix data Pauli decomposition process)

matlab编写的截断半径45时，低通滤波器对与图像的影响，画图比较滤波前后的对比图。(matlab truncation radius of the preparation of 45, the low-pass filter and image of the effect of drawing the contrast to compare before and after filtering Fig.)

说明：  基于matlab上的菲涅耳离轴全息记录与再现程序，能对图像进行相应处理得到其全息图。同时能将其再现还原。(Based on the Fresnel off-axis holographic recording and reconstruction program on MATLAB, the hologram of the image can be obtained by corresponding processing. At the same time, it can be reproduced and restored.)

图像恢复：快速非局部均值滤波--A.Buwades等人提出的非局部均值滤波的快速实现方法(Image restoration: the proposed fast non-local means filtering- A. Buwades non-local means filtering Fast Implementation)

本程序应用相位一致性进行边缘检测，较以往应用灰度信息进行边缘检测算法，该算法与光照无关，且抗噪声性能强(phase of the application process consistency edge detection, gray than in the past Application information edge detection algorithm, The algorithm has nothing to do with illumination, and strong anti-noise performance)

将一副图像进行rgb分离，并将R G B 的各个分量显示出来。(the sepration of rgb and show the sepration )

用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)