You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: extractObjectsHistograms.m
    path of file: ./repos/Image-Harmonization-Dataset-iHarmony4/Lalonde and Efros/colorStatistics/mycode
    
    the code of the file until where you have to start completion: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function extractObjectsHistograms
%   Retrieve all the objects in our database and store their image and
%   object indices in a long vector. Objects must occupy between 5% and 60%
%   of the image area to be considered. Store their marginal and pairwise 
%   histograms.
% 
% Input parameters:
%
% Output parameters:
%   
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function extractObjectsHistograms 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2006-2007 Jean-Francois Lalonde
% Carnegie Mellon University
% Do not distribute
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%
addpath ../database;
addpath ../histogram;
addpath ../../3rd_party/color;
addpath ../../3rd_party/LabelMeToolbox;

% define the input and output paths
imagesBasePath = '/nfs/hn21/projects/labelme/Images/';
annotationsBasePath = '/nfs/hn21/projects/labelme/Annotation/';
dbPath = '/nfs/hn01/jlalonde/results/colorStatistics/testDataSemantic/';
outputBasePath = '/nfs/hn01/jlalonde/results/colorStatistics/dataSet/';

nbBinsMarginal = 100;
nbBinsJoint = 20;

% object to paste must occupy between 5% and 60% of the image
minAreaRatio = 0.05;
maxAreaRatio =
    
function extractObjectsHistograms
%   Retrieve all the objects in our database and store their image and
%   object indices in a long vector. Objects must occupy between 5% and 60%
%   of the image area to be considered. Store their marginal and pairwise 
%   histograms.
% 
% Input parameters:
%
% Output parameters:
%   
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function extractObjectsHistograms 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Copyright 2006-2007 Jean-Francois Lalonde
% Carnegie Mellon University
% Do not distribute
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%
addpath ../database;
addpath ../histogram;
addpath ../../3rd_party/color;
addpath ../../3rd_party/LabelMeToolbox;

% define the input and output paths
imagesBasePath = '/nfs/hn21/projects/labelme/Images/';
annotationsBasePath = '/nfs/hn21/projects/labelme/Annotation/';
dbPath = '/nfs/hn01/jlalonde/results/colorStatistics/testDataSemantic/';
outputBasePath = '/nfs/hn01/jlalonde/results/colorStatistics/dataSet/';

nbBinsMarginal = 100;
nbBinsJoint = 20;

% object to paste must occupy between 5% and 60% of the image
minAreaRatio = 0.05;
maxAreaRatio = 0.6;

%% Load the database
% D = LMdatabase(annotationsBasePath, subDirs);
fprintf('Loading the database...');
load(fullfile(dbPath, 'db.mat'));
fprintf('done!\n');

% load the previously extracted objects
fprintf('Loading the objects...');
load(fullfile(dbPath, 'maskInfo.mat'));
fprintf('done!\n');

%% Define color spaces
colorSpaces = {'lab', 'rgb', 'hsv'};

for c=1:length(colorSpaces)
    if strcmp(colorSpaces{c}, 'lab')
        % convert the image to the L*a*b* color space (if asked by the user)
        % L = [0 100]
        % a = [-100 100]
        % b = [-100 100]
        mins{c} = [0 -100 -100];
        maxs{c} = [100 100 100];
        type{c} = 1;

    elseif strcmp(colorSpaces{c}, 'rgb')
        mins{c} = [0 0 0];
        maxs{c} = [255 255 255];
        type{c} = 2;

    elseif strcmp(colorSpaces{c}, 'hsv')
        mins{c} = [0 0 0];
        maxs{c} = [1 1 1];
        type{c} = 3;
    else
        error('Color Space %s unsupported!', colorSpaces{c});
    end