contourlet_toolbox

metlab各种小程序，内容广泛.适合入门的同学学习(metlab)

说明：  第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 (Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object handle to remove the judge handles the deletion of 4.3.1 judgments 4.3.2 Handle 4.4 graphic object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Default graphic object 4.5.1 figflag other operations function 4.5.2 findfigs function 4.5.3 copyobj function 4.5.4 capture function 4.5.5 refresh function 4.5.6 saveas function 4.5.7 hgload function and 4.5.8 newplot function hgsave function)

用matlab仿真滤波器，fs=1.ws=0.2,wp=0.3(Filter simulation using matlab, fs = 1.ws = 0.2, wp = 0.3)

Project on Image Restoration

Short MATLAB example program that uses the Eyelink and Psychophysics Toolboxes to create a real-time gaze-dependent display.

消隐算法 三维 消隐分类 画家算法 算法的介绍及例子说明(Vanishing algorithm 3 d Vanishing classification Painter algorithm The algorithm is introduced and examples )

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

avi视频转换为jpg序贯图片，应用于matlab2014a进行图像处理。(Avi video converted to JPG sequential images, image processing is applied to matlab2014a.)

说明：  二阶倒立摆控制算法，三种方法，simulink实现(Second order inverted pendulum control algorithm, three methods, Simulink implementation)

此为雷达对抗的基本知识.对初始学习的人有一定的帮助.(This is the basic knowledge of radar confrontation. For the initial study were certainly helpful to them.)