Part-1

For all classifier needs feature classification object .Here the program for height and width feature taken hand image.This program suitable for any single object in the image. input gray_img : input hand image or any measure image like 2d with 0 to 255 intensity output height : pixel count of height width : pixel count of width out_img : segmented image with line for height and width hand_height_width function implements hand height and width of the image using the method outlined in: calculate the hand height and width value for gray image. In Proceedings of the Information Sciences 275 (2014) 45–56. Hand shape identification on multirange images. [ height width out_img ] = hand_height_width ( gray_img ) function is to find the hand height and width value of the image. The input is given to the gray scale image.

在正方形局域，随机画圆圆心，并满足覆盖率再95 以上。(draw circles in squre,and the useage is 95 )

一种变步长LMS的算法，描述了与基本LMS算法的比较，随着迭代次数的增加，变步长的LMS算法达到最优的迭代次数少(A variable step size LMS algorithm, describes the basic LMS algorithm and compare that with the increase in the number of iterations, variable step size LMS algorithm to achieve the optimal number of iterations less)

分形插值的matlab程序（以一组随机数组为例）(Fractal Interpolation matlab program (to a group of random array as an example))

the noise deteriorates the interpolation performance in digital images, it is effective to employ denoising prior to the interpolation. In this paper, we propose a novel interpolation framework in which denoising and image sharpening methods are embedded. In the proposed framework, the image is first decomposed using the bilateral filter into the detail and base layers which represent the small and large scale features, respectively. The detail layer is adaptively smoothed to suppress the noise before interpolation and an edge-preserving interpolation method is applied to both layers. Finally, the high resolution image is obtained by combining the base and detail layers. Experimental results show that the proposed algorithm outperforms the conventional methods

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)

COM Builder _1_ demo(COM Builder demo)

关于互相关函数的matlab程序，按照互相关函数公式编写的matlab程序(The matlab program of cross-correlation function )

test1.m 固定增量法求分界面 test2.m 利用误差平方和函数集群 delet.m 删除数组元素 Err.m 计算误差平方和 Distance.m 欧拉距离计算 (test1.m fixed incremental method for use interface test2.m squared error function cluster de let.m delete array elements Err.m calculation error square Distance.m Euler distance)

matlab，最小拍控制系统，输入为速度信号，输出控制器输出变量有波纹。有波纹最小拍控制系统(matlab, the smallest shot control system, the input speed signal, the output controller output variable corrugated. Corrugated minimum Beat Control System)