cmpwin.m

this a SVM toolbox,it is very useful for someone who just learn SVM.In order to be undestood easily,

function [win]=cmpwin(mins,maxs,xborder,yborder)
%
%  [win]=cmpwin(mins,maxs,xborder,yborder)
%
% CMPWIN computes appropriate size of the axes.
%

% Statistical Pattern Recognition Toolbox, Vojtech Franc, Vaclav Hlavac
% (c) Czech Technical University Prague, http://cmp.felk.cvut.cz
% Written Vojtech Franc (diploma thesis) 02.01.2000
% Modifications
% 24. 6.00 V. Hlavac, comments polished.

dx=max( (maxs(1)-mins(1)), 1 )*xborder;
dy=max( (maxs(2)-mins(2)), 1 )*yborder;

%x1=floor(mins(1)-dx);
%x2=ceil(maxs(1)+dx);
%y1=floor(mins(2)-dy);
%y2=ceil(maxs(2)+dx);
x1=(mins(1)-dx);
x2=(maxs(1)+dx);
y1=(mins(2)-dy);
y2=(maxs(2)+dx);

win=[x1 x2 y1 y2];