Matlab-Program-examples(2)

数字图像处理的基础知识，是冈萨雷斯的《数字图像处理》一书对应电子版(digital image processing)

LDPC implemented in MATLAB, BPSK performance using LDPC checked

根据所给定的节点值和节点上的函数值,取边界条件为 “左右两端的一阶导数值为零”, 编制构造三次样条函数的 Matlab 程序。 另附测试程序(Depending on the value of a given node and the node function value, taking the boundary conditions for the " right and left ends of the first derivative value of zero," the preparation of structural cubic spline function of Matlab procedures. Attached test program)

二维不规则颗粒随机分布模型的MATLAB程序，变形颗粒试件创建程序。(Deformation particle test procedure)

动易sitefactory5.0 的源代码，快速建站的好帮手，亲自用过了，功能很强大。(Moving easily sitefactory5.0 source code, rapid establishment of a good helper, personally used, the function is very powerful.)

说明：  有关于matlab 编程 人脸检测等等，关于adaboost级联分类器(About matlab programming)

This is to experiment with feature detection and tracking algorithms. In particular, the reader should gain intuition on the role of various design parameters such as the size of the windows for selection and tracking, the SSD criterion and thresholds.

Adaptive Schemes for Expanded Diagnosis Image Evaluation for skin cancer Skin cancer is a malignant tumour which grows in skin cells. It is one of the most common of all cancer which affects human beings and accounts for more than 50 of all types of cancers around the world. Skin cancer is skin’s unwanted growth with differing causes and varying degrees of malignancies. It can spread very fast to all organs/parts of human body through lymphatic system or blood.

主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大（Minmax）问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。 (The main description Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem, " a semi-infinite constrained multi-function optimal solution, minimization great (MinMax), a multi-objective programming problems, least squares optimization problem and non- linear equation (group) to solve.)

K-means++算法实现，加强了初始聚类点的选取（careful seeding）(K-means++ algorithm to enhance the selection of the initial clustering points (careful seeding))