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 Matlab For Region Growing 

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This is the power prediction analysis demo that was used in the "MATLAB for Excel Users" webinar. You can view the webinar at:

http://www.mathworks.com/wbnr37971

This demo requires only MATLAB, Statistics Toolbox, and Curve Fitting Toolbox. In the webinar, we also discussed Spreadsheet Link EX, MATLAB Compiler, and MATLAB Builder EX.



The ZIP file contains the demo files used in the "MATLAB for Excel Users in Academia" Webinar recorded on May 25, 2007.

The demo is on Energy Usage Forecasting by performing basic descriptive statistics on historical energy...



This file explains how to run the demo shown in the webinar titled 'MATLAB for Excel Users'. You will need MATLAB, Statistics ToolboxTM, Curve Fitting ToolboxTM, Spreadsheet Link EX TM, and MATLAB Builder EX TM to run all of the analysis; however...



I use MATLAB for most of my day-in-day-out work. I teach statistics using R. For the most part, I am happy using MATLAB (if only because its what I know best), but two features of R that I really miss in MATLAB are:

1) Dataframes - a...



Segmentation by growing a region from user defined seed point, using intensity mean measure.
Simple and efficient (only one loop) example of "Region Growing" algorithm from a single seed point.

The region is iteratively...



Slides and demo files from the webinar "MATLAB for Teaching' (Portuguese).



Before the export, the Tri_Surface file can be used in Matlab for visualization, some calculations or modifications. Thereafter, the data
for further processing often re-used in the STL format.

INPUT:

nodes_file: Is the...



Free open source software in Matlab for the evaluation of the performance of different level-set based algorithms in the context of image segmentation. The platform gives access to the implementation of six level-set methods that have been chosen...



I have often needed to generate data files to export from Matlab for other programs with headers to explain the contents of the columns. This simple routine extends the function of the MATLAB csvwrite function to add column headers



A example of program with MATLAB for Visualisation .



It will be toolbox in matlab for physics teachers. It will be visualization of some standart problems in mechanics, electromagnetics, quantum mechanics, thermodynamics and other. The toolbox will contain standart physics problems visualizations...



This is not intended to be stand alone content.

These are the demos used in the public seminar entitled "Algorithm Development with MATLAB for C and C++ Programmers".

Though watching the seminar is not a requirement...



glmlab is a set of m-files for using MATLAB for analysing generalised linear models. It originally was developed to replace GLIM in a small way at the University where I work (the University of Southern Queensland, Australia). It has since grown,...



This function eases the transition to MATLAB for Excel users. The function will add all elements in a column through the function call:

x = SUM(A, col);

where A is an array and col is the column over which the user would like...



the primary target of this script was to make a simple dxf import for matlab for the most important autocadcad entities. the script reads the coordinates and layernames of entities of a acad r2000 - r2007 ascii .dxf file and saves the results as...



Slides and demo files from the recorded webinar "IntrodudoTzdodlo doT AndodAlise de Dados com MATLAB aplicada a Life Science" ("Introduction to Data Analysis in MATLAB for Life Scientists" in Portuguese).



14. GUIDE MATLAB d-deOCt SERIAL COMMUNICATION BETWEEN PIC16F628A AND MATLAB.

For more information, visit: http://www.matpic.com



Embeds the Python Interpreter in Matlab. Allows for parsing of Matlab strings as Python code. Allows the programmer to move data in between Python and Matlab.

For a full description and examples:



Written in Chinese, this book presents the theory of control systems with the aid of MATLAB.

For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1743.jsp.



An efficient algorithm for identification of strong polarity-inversion line (SPIL) on Solar Dynamic Observatory (SDO) Helioseismic and Magnetic Imager (HMI) magnetograms.

Detailed description will appear in the paper: Volobuev, D.M....