MATLAB-CODE-OF-LEARNING
所属分类:matlab编程
开发工具:matlab
文件大小:182KB
下载次数:3
上传日期:2017-03-05 16:44:16
上 传 者:
长达
说明: 刚萨雷斯MATLAB版教材中各章节的代码,已经经过调试,可直接使用
(Each chapter Gonzalez MATLAB edition of the code, after debugging, can be used directly)
文件列表:
MATLAB CODE OF LEARNING\0_Read_Me_First.txt (5567, 2010-02-03)
MATLAB CODE OF LEARNING\adpmedian.m (1572, 2010-02-03)
MATLAB CODE OF LEARNING\average.m (651, 2010-02-03)
MATLAB CODE OF LEARNING\bayesgauss.m (3034, 2010-02-03)
MATLAB CODE OF LEARNING\bound2eight.m (3063, 2010-02-03)
MATLAB CODE OF LEARNING\bound2four.m (2477, 2010-02-03)
MATLAB CODE OF LEARNING\bound2im.m (2224, 2010-02-03)
MATLAB CODE OF LEARNING\boundaries.m (5776, 2010-02-03)
MATLAB CODE OF LEARNING\bsubsamp.m (3966, 2010-02-03)
MATLAB CODE OF LEARNING\CH10.m (28150, 2008-09-18)
MATLAB CODE OF LEARNING\CH11.m (8784, 2008-09-23)
MATLAB CODE OF LEARNING\CH12.m (4907, 2008-09-22)
MATLAB CODE OF LEARNING\CH2.m (3639, 2010-09-28)
MATLAB CODE OF LEARNING\CH3.m (6011, 2010-09-28)
MATLAB CODE OF LEARNING\CH4.m (9714, 2008-09-28)
MATLAB CODE OF LEARNING\CH5.m (12078, 2008-10-08)
MATLAB CODE OF LEARNING\CH6.m (9259, 2008-09-19)
MATLAB CODE OF LEARNING\CH7.m (7683, 2007-09-05)
MATLAB CODE OF LEARNING\CH8.m (7441, 2009-01-05)
MATLAB CODE OF LEARNING\CH9.m (19824, 2008-04-26)
MATLAB CODE OF LEARNING\changeclass.m (592, 2010-02-03)
MATLAB CODE OF LEARNING\colorgrad.m (2353, 2010-02-03)
MATLAB CODE OF LEARNING\colorseg.m (2428, 2010-02-03)
MATLAB CODE OF LEARNING\compare.m (1177, 2010-02-03)
MATLAB CODE OF LEARNING\connectpoly.m (1040, 2010-02-03)
MATLAB CODE OF LEARNING\Contents.m (6129, 2010-02-03)
MATLAB CODE OF LEARNING\conwaylaws.m (799, 2010-02-03)
MATLAB CODE OF LEARNING\covmatrix.m (977, 2010-02-03)
MATLAB CODE OF LEARNING\de2bi.m (5712, 2002-03-26)
MATLAB CODE OF LEARNING\dftcorr.m (687, 2010-02-03)
MATLAB CODE OF LEARNING\dftfilt.m (882, 2010-02-03)
MATLAB CODE OF LEARNING\dftuv.m (736, 2010-02-03)
MATLAB CODE OF LEARNING\diameter.m (6622, 2010-02-03)
MATLAB CODE OF LEARNING\endpoints.m (874, 2010-02-03)
MATLAB CODE OF LEARNING\entropy.m (1028, 2010-02-03)
MATLAB CODE OF LEARNING\fchcode.m (8758, 2010-02-03)
MATLAB CODE OF LEARNING\frdescp.m (1454, 2010-02-03)
MATLAB CODE OF LEARNING\fwtcompare.m (992, 2010-02-03)
MATLAB CODE OF LEARNING\gmean.m (447, 2010-02-03)
MATLAB CODE OF LEARNING\gscale.m (2087, 2010-02-03)
... ...
% README file for the DIPUM Toolbox.
%
% These MATLAB functions were created for the book Digital Image
% Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and
% S.L. Eddins, Prentice Hall, 2004, ISBN 0130085197. The functions
% supplement and extend the image processing functionality of MATLAB
% and the Image Processing Toolbox, both offered by The MathWorks.
%
% The free version of the DIPUM Toolbox
% -------------------------------------
% The free version of the DIPUM Toolbox contains only executable
% MATLAB P-files. P-files may be executed as MATLAB functions just
% as M-files. Unlike M-files, however, neither the help text nor the
% source code is accessible. Complete source code listings for all
% functions are included in the book.
%
% The registered version of the DIPUM Toolbox
% -------------------------------------------
% The registered version of the DIPUM Toolbox contains M-files with
% readable source code and help text. Users who want the M-files in
% electronic form may obtain, for a small fee, a password allowing them
% to download the registered toolbox. More information about obtaining
% the registered toolbox version is available at the book's web site:
%
% http://www.imageprocessingbook.com/index_dipum.htm
%
% Requirements
% ------------
% This initial release of the DIPUM Toolbox was developed and tested
% using MATLAB 6.5 and the Image Processing Toolbox 3.1. The DIPUM
% Toolbox is not supported for use with earlier versions of MATLAB or
% the Image Processing Toolbox. Most DIPUM functions require the
% Image Processing Toolbox.
%
% The DIPUM Toolbox works with all MATLAB platforms. It includes one
% MEX-file (UNRAVEL, which is used for Huffman decoding). Compiled
% binaries for this MEX-file are provided for all MATLAB platforms.
%
% Installation
% ------------
% To install the DIPUM Toolbox, place the folder containing the
% functions on a local hard drive or a network drive accessible to
% your computer, and then include the folder location in the MATLAB
% path. To set the MATLAB path, start MATLAB and then select the
% File/Set Path menu item. Then select Add Folder. Use the
% navigation window to select the folder containing the functions.
% Click OK and then click Save. The functions will then be ready for
% use within MATLAB.
%
% Copyright
% ---------
% The DIPUM Toolbox is protected under U.S. and international copyright
% law. You may not transfer, publish, disclose, display, or otherwise
% make available either the free or the registered versions of the DIPUM
% Toolbox to other people. In particular, you may not place either
% version of the DIPUM Toolbox on an Internet site, a computer bulletin
% board, or an anonymous ftp directory from which it could be downloaded
% or copied by other people. Anyone may obtain the free version
% directly from the book's web site.
%
% Disclaimer of Warranty
% ----------------------
% The DIPUM Toolbox source code is furnished "as is." Neither the
% authors nor the publisher of Digital Image Processing Using MATLAB
% make or imply any warranties that the DIPUM Toolbox software is free
% of error, that it is consistent with any particular standard of
% merchantability, or that it will meet your requirements for any
% particular application. The authors accept no responsibility for any
% mathematical or technical limitations of the functions that make up
% the DIPUM Toolbox. The DIPUM Toolbox should not be relied upon for
% solving a problem whose incorrect solution could result in injury to a
% person or loss of property. Neither the authors nor the publisher of
% Digital Image Processing Using MATLAB shall in any event be liable for
% any damages, whether direct or indirect, special or general,
% consequential or incidental, arising from use of the DIPUM Toolbox.
%
% The DIPUM Toolbox was not created by The MathWorks, nor is it
% supported by The MathWorks.
%
% About Version 1.1.4
% -------------------
% Release date: 15-July-2006
%
% Changes:
% * bayesgauss: Corrected typo in help text.
% * ifrdescp: Corrected typo in help text.
% * im2jpeg: Corrected bug in end-of-block computation.
% * imnoise2: Corrected bug in the lognormal computation.
% * mahalanobis: Corrected typo in help text.
% * pixeldup: Corrected typo in comment.
% * rgb2hsi: Corrected typo in comment.
%
% About Version 1.1.3
% -------------------
% Release date: 15-Dec-2004
%
% Changes:
% * bayesgauss: Corrected bug in the optimized version that was
% released in DIPUM Toolbox 1.1.
%
% About Version 1.1.2
% -------------------
% Release date: 04-Nov-2004
%
% Changes:
% * bayesgauss: Revised help text and some comments in the code.
%
% * bsubsamp: Corrected indexing errors that occurred under some
% conditions.
%
% * ifrdescp: Revised help text.
%
% * imnoise3: Revised help text.
%
% * lpfilter: Removed a superfluous output variable.
%
% * statxture: Removed unnecessary brackets surrounding output
% variable.
%
% About Version 1.1.1
% -------------------
% Release date: 04-Jun-2004
%
% Changes:
% * Added missing ice.fig file to toolbox distribution.
%
% About Version 1.1
% -----------------
% Release date: 10-Mar-2004
%
% Changes:
% * Function bayesgauss was modified to improve performance.
%
% About Version 1.0
% -----------------
% Release date: 01-Dec-2003
%
% This initial release of the DIPUM Toolbox coincides with the
% initial publication of Digital Image Processing Using MATLAB.
%
% Copyright 2002-2006 R. C. Gonzalez, R. E. Woods, & S. L. Eddins
% Digital Image Processing Using MATLAB, Prentice-Hall, 2004
% $Revision: 1.15 $ $Date: 2006/07/15 20:43:48 $
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