jnkather

IMpath = 'C:\folder\input\'; % specify input/output folder
allImgs = {'filename1.tif',...
'filename2.tif'}; % specify filenames

% iterate through all images
for i=1:numel(allImgs)
	fun = @(block_struct) imresize(block_struct.data,0.1);	
  imgOut = blockproc([IMpath,char(allImgs{i})],...
                                       [1000 1000],fun,...
                                       'UseParallel',true,...

jnkather

% requires showTree.m

% --- create data
nObj = 100;
rng(3);
scale = 100;
data = rand(nObj,2)*scale;

% --- set up parameters
saveOutput = true;

jnkather

function showTree( x,y,scale,varargin )
    
    xsize = 0.01*scale;
    ysize = 0.03*scale;
    radius = 0.03*scale;
    
    treeColor = [0,150,10]/255;
    % override tree color
    if nargin>3
        treeColor = varargin{1}

jnkather

% JN Kather, 2015
% Show the RGB gamut in RGB space and CIELAB space, then
% rotate the cubes and save the frames as image files to 
% a subfolder ./output

% set parameters
turns = 1; % how often should the viewpoint turn, default 1
balls = 70; % how many balls to plot
nSteps = 40; % how many viewpoints?, default 40
saveOutput = false; % save output to files? default false

jnkather

% (c) JN Kather 2015

function hex = rgb2hex(rgb)

% expects a vector of three elements of RGB color values between 0 and 1.
% Returns a string containing the hex code of the color.

    r = uint8(rgb(1)*255);
    g = uint8(rgb(2)*255);
    b = uint8(rgb(3)*255);

jnkather

% JN Kather 2015
% sorts a vector of hex colors by hue
% dependencies: needs functions rgb2hex and hex2rgb

dataDir = 'input/data/';

% read color vector
colorList = readtable(strcat(dataDir,'/custom_color_list3.txt'),... 
         'ReadVariableNames',false); 
     

jnkather

% JN Kather 2015
% calculate distance from a given point for a cloud of points, 3D

% cloud of points
Pts = rand(10000,3); 

% calculate distance from P(px|py|pz)
px = 0.5; py = 0.5; pz = 0.5;
distance = sqrt( (Pts(:,1)-px).^2 + ...
                 (Pts(:,2)-py).^2 + ...

jnkather

% JN Kather 2015
% calculate distance from a given point for a cloud of points, 2D

% cloud of points
Pts = rand(500,2); 

% calculate distance from P(px|py)
px = 0.5; py = 0.5
distance = sqrt((Pts(:,1)-px).^2 + (Pts(:,2)-py).^2);

jnkather

% JN Kather, 2015
% Show a CIELAB color cube composed of 25^3 balls
% note: Matlab CIELAB colorspace goes approx. from -108 to +100 as measured
% with: colors = rgb2lab(jet(100)); min(colors(:)), max(colors(:))
figure();
[X,Y,Z] = meshgrid(linspace(-108,100,15)); 
colors = lab2rgb([double(X(:)),double(Y(:)),double(Z(:))]);
scatter3(X(:),Y(:),Z(:),100,colors,'filled');
xlabel('L'); ylabel('a'); zlabel('b');
axis equal tight

jnkather

% JN Kather, 2015
% Show the RGB gamut in CIELAB space
figure();
[X,Y,Z] = meshgrid(linspace(0,1,25)); 
colors = ([X(:),Y(:),Z(:)]);
colorsLAB = rgb2lab(colors);
scatter3(colorsLAB(:,1),colorsLAB(:,2),colorsLAB(:,3),100,colors,'filled');