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说明：  自己编的SVM代码，适合初学者，多多关注，，(SVM learning, suitable for beginners, rich code, SVM code, suitable for beginners, more attention)

利用小波包分解对一个二维含躁图像进行去噪处理(Using Wavelet Packet Decomposition to Denoise a Two-Dimensional Fidgety Image)

N-FINDR算法 端元提取 读取MNF降维后的影像数据 读取MNF降维后的影像数据( using N-FINDR end-member extraction)

基于感兴趣区域的图像检索。matlab的，希望对大家有所帮助。(Region of interest based image retrieval. matlab, and want to help everyone.)

此文件实现了自适应UKF和UKF算法对运动刚体的位姿估计，采用噪声估计器在线估计过程噪声的均值和方差，避免了人为设定噪声的统计特性。(This document implements adaptive UKF and UKF algorithm to estimate pose and pose of moving rigid body, and uses noise estimators to estimate the mean and variance of process noise online, avoiding the statistical characteristics of man-made noise.)

程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Program code description P0401: Detects the edge of an image with the Prewitt operator P0402: LoG operator with different σ values is used to detect the edge of the image P0403: Detects the edge of an image with the Canny operator P0404: Threshold segmentation of the image P0405: Image segmentation using watermark threshold method P0406: Quadtree decomposition of the matrix P0407: The image is divided into text and non-text of the two categories P0408: Morphological gradient detects the edge of a binary image P0409: Morphology Example- Deletes all current lines the PCB image, leaving only the chip object)

数字图像相关中的亚像素位移计算方法之牛顿迭代法的函数。参数包括参考图像、变形图像和迭代步长(The Function of Newton s Iteration Method for Sub- pixel Displacement Calculation in Digital Image Correlation. The parameters include the reference image, the deformed image, and the iterative step)

说明：  该程序通过雅可比矩阵求解Rossler系统的李雅普诺夫指数指数，并绘制了其频谱图。(The program solves the Lyapunov exponent of Rossler system by Jacobian matrix and draws its spectrum.)

线阵ccd信号处理，信号放大预处理，采样保持，A/D转换，分析采集的到的图像信息，确定物体位置(signal prosessing of ccd)

对于图像图形处理，基于先验形状、窄带法的CV模型的分割方法，有举例说明，效果明显。(For image and graphics processing, segmentation method based on a priori shape, Narrow Band CV model, there are illustrated, the effect is obvious.)