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function mHist = hist2d ([vY, vX], vYEdge, vXEdge)2 Dimensional HistogramCounts number of points in the bins defined by vYEdge, vXEdge.size(vX) == size(vY) == [n,1]size(mHist) == [length(vYEdge) -1, length(vXEdge) -1] EXAMPLEmYX = rand(100,2);vXEdge = linspace(0,1,10);vYEdge =...

Webalizer::Hist is a Perl module to parse the webalizer.hist-file. SYNOPSIS use Webalizer::Hist; if(my $dwh = Webalizer::Hist->new(source => "webalizer.hist")) { while(my $hashref = $dwh->month()) { print "Got " . $hashref->{totalhits} . " hits in month " . $hashref->{month} . "n"; }...

[imOut, hist] = matchHistograms(img1,img2,nbins)Matches the histogram of image1 to that of image 2, using the user-specified number of bins. Returns the histogram-matched image, as well as its histogram. Operates on two grayscale, two binary, or two color images. INPUTS: img1: the image to modify...


Platforms: Matlab

rhist is extension of MATLAB hist function to compute and plot relative frequency and density.N = HIST(Y) bins the elements of Y into 10 equally spaced containers and returns the relative frequency of elements in each container. If Y is amatrix, RHIST works down the columns.N = RHIST(Y,M), where...


Platforms: Matlab

An M-file to move the base value for bar and hist plots from 0 to any value. Especially useful for log-scale bar plots.


Platforms: Matlab

Function HISTF ('flexible histogram') extends Matlab's HIST by letting one bound displayed percentiles, set x-axis limits and y-axis maximum, set x bin size, and draw a marker line at given x position. In contrast to HIST, relative rather than absolute frequencies are displayed. (Note: when range...


Platforms: Matlab

PDL::Graphics::PGPLOT::Window is a OO interface to PGPLOT windows. SYNOPSIS perldl> use PDL::Graphics::PGPLOT::Window perldl> $win = PDL::Graphics::PGPLOT::Window->new(Device => /xs); perldl> $a = pdl [1..100] perldl> $b = sqrt($a) perldl> $win->line($b) perldl> $win->hold() perldl> $c...


Platforms: *nix

Perlbug::Interface::Web is a web interface to perlbug database. SYNOPSIS my $o_web = Perlbug::Interface::Web->new; print $o_web->top; print $o_web->request(help); print $o_web->links; METHODS new Create new Perlbug::Interface::Web object. my $web = Perlbug::Interface::Web->new;...


Platforms: *nix

CacheBack was designed topp be the leading Internet cache and history analysis tool on the market today that supports all five (5) top browsers: IE, Firefox, Opera, Safari and Google Chrome. Web pages are easily rebuilt offline by the simple click of the mouse which allows evidence to be...


Platforms: Windows

Welcome to Rome – Welcome to War. Two world-dominating games in one! See the mini-site at feralinteractive.com/rometw Uniting multi-award winning Rome Total War and its official expansion pack, Barbarian Invasion, you must guide hist


Platforms: Mac

Usage: I=mi(A,B), where A and B are equally sized images/signals.Function hist2 (included) is used to determine the joint histogram of the images/signals. All histograms use 256 bins.Assumptions: 1) 0*log(0)=0, 2) mutual information is obtained on the intersection between the supports of partial...


Platforms: Matlab

function [optN, C, N] = sshist(x,N) [optN, C, N] = sshist(x,N) Function `sshist' returns the optimal number of bins in a histogram used for density estimation. Optimization principle is to minimize expected L2 loss function between the histogram and an unknown underlying density function. An...


Platforms: Matlab

Content-based image retrieval is the task of searching images in databases by analyzing the image contents. In this demo, a simple image retrieval method is presented, based on the color distribution of the images. The user simply provides an "example" image and the search is based upon that...


Platforms: Matlab

histnd Histogram count of ND data with ND bins histmat = histnd(x, y, ..., xedges, yedges, ...) Extract ND histogram data containing the number of events of [x, y, ...] tuples that fall in each bin of the ND-grid defined by xedges, yedges, .... The edges are passed to histc internally and should...


Platforms: Matlab

File exchange contains a wealth of full-functioned, gui-based 3D medical image viewers. ct3 is a simple alternative that plots a 3D array containing CT or MRI greyscale values into 3 separate windows, and allows the use of the mousewheel to page from slice to slice. It allows the user to quickly...


Platforms: Matlab

Syntax: ui=NewtFit(x,y,z,u,xi,yi,zi)3D interpolation. It may be used where griddata3 fails to find a triangularization of the datagrid (x,y,z). The function uses a modified 4 point Newton interpolation formula for vector arguments in 3D instread of scalars used in 1D. The interpolation is...


Platforms: Matlab

Imagine that you have a set of observations that have been properly labelled. It should be interesting not only to analyze the data pdf but also to study the weigth of each class (observations' labels) to each one of the histogram bins. In this way I have developed a version of HIST, that is...


Platforms: Matlab

This function generates a vector of triangular distributed continuous random variable. By specifying minimum value(a), maximum value(b), mode(c), and number of variables to be generated(n), the function gives a vector of random variables as output (X). The command syntax is X=trirnd(a,c,b,n).You...


Platforms: Matlab

fastmode is an improvement on 'mode.m' by Michael Robbins (File ID 5266). It ignores NaN's and properly returns multiple results if more than one element occurs at equal frequency.M-file profiler revealed extracting unique values took 50% of the time spent in the function, and since a list of...


Platforms: Matlab

Sometimes we need samples that come from a mixture of pdf's, where more than 1 peaks are observed. E.g. for analyzing goodness of a non-parametric kernel density estimation method.By using the Rejection method, this function generates random numbers from a mixture (average sum) of N normal...


Platforms: Matlab