Contents ======== * KFtools for MATLAB * Statistical Pattern Recognition Toolbox * Signal Processing using C++ * sbParser - Symbolic C++ Parser * Contribute your links KFtools for MATLAB ================== This set of MATLAB tools consists of functions useful for basic image processing and blob analysis. Functions included cover topics like store boundary of binary object as a list of pixel corner coords, select largest binary object, watershed segmentation (flooding from selected sources), centroid of a binary object and more. http://www.mathtools.net/MATLAB/Image_Processing http://www.dip.ee.uct.ac.za/~kforbes/KFtools/KFtools.html Statistical Pattern Recognition Toolbox ======================================= The toolbox contains both well known pattern recognition methods and recently proposed methods. The toolbox focuses on linear discriminant function including its generalization to quadratic discriminant function by non-linear data mapping, unsupervised learning algorithms and minimax learning algorithms. The demonstrator environment is provided that allows the user to choose different algorithms, compare their behavior, provides tools to control the algorithm run interactively and creates synthetic input data or uses real ones. http://www.mathtools.net/MATLAB/Statistics http://cmp.felk.cvut.cz/~xfrancv/stprtool/index.html Signal Processing using C++ =========================== SPUC provides a large and comprehensive set of simple, efficient and reusable DSP building block objects written as C++ classes. http://www.mathtools.net/Applications/DSP/Libraries http://spuc.webjump.com/ sbParser - Symbolic C++ Parser ============================== This SDK gives you an easy way to include parsing and calculator objects in your C++ programs. http://www.mathtools.net/C++/Symbolic http://home.t-online.de/home/Softbase/serv02_f.htm Contribute your links ===================== Mathtools.net was built using the contribution and effort of many people. Now you can make your favorite technical computing links appear in Mathtools.net. Doing so is simple: if you have in your bookmark a link worth adding, go to the Mathtools.net relevant section, choose 'Add Link', and enter your link information. If you wish to have your link included in this news digest, drop an email to [EMAIL PROTECTED] http://www.mathtools.net --- --- --- --- --- --- --- --- --- --- --- --- Sent to email: [EMAIL PROTECTED] . You are receiving this news digest because you have indicated a preference to receive news and updates. If you have any suggestions or requests regarding this news digest, let us know and include the sent-to email.
