SVM_lzb1p0

利用卡尔曼滤波对观测数据进行优化处理，并在观测数据的基础上对卡尔曼滤波进行改进(The Kalman filter is used to optimize the observed data, and the Kalman filter is improved on the basis of the observed data.)

《模式分析的核方法》一书中的源代码，其中有该书的基本介绍和talk！()

New Edge-Directed Interpolation

说明：  牛顿-拉夫森迭代方法是解非线性方程非常著名也是比较有效的方法之一，如果离初值近，收敛速度很快。(Newton- La Fusen iterative method for solving nonlinear equations is well-known effective method is one of, if the initial value from the past, the convergence is fast.)

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

Checks a window that would be used for a STFT overlap and add decomposition.

说明：  小波变换通过matlab实现s小波变换代码，给出变换结果。(Wavelet transform, through the realization of s wavelet transform matlab code, given the results of transformation.)

用于计算图象点灰度-区域灰度直方图的函数,用MATLAB语言实现.(used to calculate the gray image point-regional gray histogram function using MATLAB.)

说明：  本代码用来实现高光谱图像每个波段下灰度图像的保存，并且可将对应图像以相应的波段命名(This code is used to save gray image in each band of hyperspectral image, and the corresponding image can be named in the corresponding band.)