How to display an array with textbox in a figure? - arrays

I'm trying to display an array as a figure in MATLAB using coloured textbox that varies according to the value at that location.
So far, I have tried to use the MATLAB Edit Plot Tool to draw such a figure and then generate the code to see what it might look like. Here is what I came up with:
figure1=figure
annotation(figure1,'textbox',...
[0.232125037302298 0.774079320113315 0.034810205908684 0.0410764872521246],...
'String','HIT',...
'FitBoxToText','off',...
'BackgroundColor',[0.470588235294118 0.670588235294118 0.188235294117647]);
annotation(figure1,'textbox',...
[0.27658937630558 0.774079320113315 0.034810205908684 0.0410764872521246],...
'String',{'STAY'},...
'FitBoxToText','off',...
'BackgroundColor',[1 0 0]);
Here the result does not look so good. I'd like something neat and not as hard to write. Visually, I'd like something like this:

I've found a possible solution using the pcolor function.
Warning: I've tested it only with Octave
If you want to create a (m x n) table with, as per your picture, 4 colour, you have to:
create an array with size (m+1 x n+1) of integers' in the1:4` range setting them according to the desired order
call pcolor to plot the table
adjust the size of the figure
create your own colormap according to the desired colors
set the `colormap'
add the desired text using the text function
set the tick and ticklabel of the axes
Edit to answer the comment
In the following you can find a possible implementation of the proposed solution.
The code creates two figure:
In the first one wil be ploted the values of the input matrix
In the second one the user defined strings
The association "color - value" is performed through the user-defined colormap.
Since in the matrix x there are 4 different possible values (it has been defined as x=randi([1 4],n_row+1,n_col+1);) the colormap has to consists of 4 RGB entry as follows.
cm=[1 0.3 0.3 % RED
0.3 0.3 1 % BLUE
0 1 0 % GREEN
1 1 1]; % WHITE
Should you want to change the association, you just have to change the order of the rows of the colormap.
The comments in the code should clarify the above steps.
Code updated
% Define a rnadom data set
n_row=24;
n_col=10;
x=randi([1 4],n_row+1,n_col+1);
for fig_idx=1:2
% Open two FIGURE
% In the first one wil be ploted the values of the input matrix
% In the second one the user defined strings
figure('position',[ 1057 210 606 686])
% Plot the matrix
s=pcolor(x);
set(s,'edgecolor','w','linewidth',3)
% Define the colormap
%cm=[1 1 1
% 0 1 0
% 0.3 0.3 1
% 1 0.3 0.3];
cm=[1 0.3 0.3 % RED
0.3 0.3 1 % BLUE
0 1 0 % GREEN
1 1 1]; % WHITE
% Set the colormap
colormap(cm);
% Write the text according to the color
[r,c]=find(x(1:end-1,1:end-1) == 1);
for i=1:length(r)
if(fig_idx == 1)
ht=text(c(i)+.1,r(i)+.5,num2str(x(r(i),c(i))));
else
ht=text(c(i)+.1,r(i)+.5,'SUR');
end
set(ht,'fontweight','bold','fontsize',10);
end
% Write the text according to the color
[r,c]=find(x(1:end-1,1:end-1) == 2);
for i=1:length(r)
if(fig_idx == 1)
ht=text(c(i)+.1,r(i)+.5,num2str(x(r(i),c(i))));
else
ht=text(c(i)+.1,r(i)+.5,'DBL');
end
set(ht,'fontweight','bold','fontsize',10);
end
% Write the text according to the color
[r,c]=find(x(1:end-1,1:end-1) == 3);
for i=1:length(r)
if(fig_idx == 1)
ht=text(c(i)+.1,r(i)+.5,num2str(x(r(i),c(i))));
else
ht=text(c(i)+.1,r(i)+.5,'HIT');
end
set(ht,'fontweight','bold','fontsize',10);
end
% Write the text according to the color
[r,c]=find(x(1:end-1,1:end-1) == 4);
for i=1:length(r)
if(fig_idx == 1)
ht=text(c(i)+.1,r(i)+.5,num2str(x(r(i),c(i))));
else
ht=text(c(i)+.1,r(i)+.5,'STK');
end
set(ht,'fontweight','bold','fontsize',10);
end
% Create and set the X labels
xt=.5:10.5;
xtl={' ';'2';'3';'4';'5';'6';'7';'8';'9';'10';'A'};
set(gca,'xtick',xt);
set(gca,'xticklabel',xtl,'xaxislocation','top','fontweight','bold');
% Create and set the X labels
yt=.5:24.5;
ytl={' ';'Soft20';'Soft19';'Soft18';'Soft17';'Soft16';'Soft15';'Soft14';'Soft13'; ...
'20';'19';'18';'17';'16';'15';'14';'13';'12';'11';'10';'9';'8';'7';'6';'5'};
set(gca,'ytick',yt);
set(gca,'yticklabel',ytl,'fontweight','bold');
title('Dealer''s Card')
end
Table with the values in the input matrix
Table with the user-defined strings

This is an answer inspired by il_raffa's answer, but with also quite a few differences. There is no better or worse, it's just a matter of preferences.
Main differences are:
it uses imagesc instead of pcolor
it uses a second overlaid axes for fine control of the grid color/thickness/transparency etc...
The association between value - label - color is set right at the beginning in one single table. All the code will then respect this
table.
It goes like this:
%% Random data
n_row = 24;
n_col = 10;
vals = randi([1 4], n_row, n_col);
%% Define labels and associated colors
% this is your different labels and the color associated. There will be
% associated to the values 1,2,3, etc ... in the order they appear in this
% table:
Categories = {
'SUR' , [1 0 0] % red <= Label and color associated to value 1
'DBL' , [0 0 1] % blue <= Label and color associated to value 2
'HIT' , [0 1 0] % green <= Label and color associated to value 3
'STK' , [1 1 1] % white <= you know what this is by now ;-)
} ;
% a few more settings
BgColor = 'w' ; % Background color for various elements
strTitle = 'Dealer''s Card' ;
%% Parse settings
% get labels according to the "Categories" defined above
labels = Categories(:,1) ;
% build the colormap according to the "Categories" defined above
cmap = cell2mat( Categories(:,2) ) ;
%% Display
hfig = figure('Name',strTitle,'Color',BgColor,...
'Toolbar','none','Menubar','none','NumberTitle','off') ;
ax1 = axes ;
imagesc(vals) % Display each cell with an associated color
colormap(cmap); % Set the colormap
grid(ax1,'off') % Make sure there is no grid
% Build and place the texts objects
textStrings = labels(vals) ;
[xl,yl] = meshgrid(1:n_col,1:n_row);
hStrings = text( xl(:), yl(:), textStrings(:), 'HorizontalAlignment','center');
%% Modify text color if needed
% (White text for the darker box colors)
textColors = repmat(vals(:) <= 2 ,1,3);
set(hStrings,{'Color'},num2cell(textColors,2));
%% Set the axis labels
xlabels = [ cellstr(num2str((2:10).')) ; {'A'} ] ;
ylabels = [ cellstr(num2str((5:20).')) ; cellstr(reshape(sprintf('soft %2d',[13:20]),7,[]).') ] ;
set(ax1,'XTick', 1:numel(xlabels), ...
'XTickLabel', xlabels, ...
'YTick', 1:numel(ylabels), ...
'YTickLabel', ylabels, ...
'TickLength', [0 0], ...
'fontweight', 'bold' ,...
'xaxislocation','top') ;
title(strTitle)
%% Prettify
ax2 = axes ; % create new axe and retrieve handle
% superpose the new axe on top, at the same position
set(ax2,'Position', get(ax1,'Position') );
% make it transparent (no color)
set(ax2,'Color','none')
% set the X and Y grid ticks and properties
set(ax2,'XLim',ax1.XLim , 'XTick',[0 ax1.XTick+0.5],'XTickLabel','' ,...
'YLim',ax1.YLim , 'YTick',[0 ax1.YTick+0.5],'YTickLabel','' ,...
'GridColor',BgColor,'GridAlpha',1,'Linewidth',2,...
'XColor',BgColor,'YColor',BgColor) ;
% Make sure the overlaid axes follow the underlying one
resizeAxe2 = #(s,e) set(ax2,'Position', get(ax1,'Position') );
hfig.SizeChangedFcn = resizeAxe2 ;
It produces the following figure:
Of course, you can replace the colors with your favorite colors.
I would encourage you to play with the grid settings of the ax2 for different effects, and you can also play with the properties of the text objects (make them bold, other color etc ...). Have fun !

Related

How to add additional zero arrrays

I have the following problem in my simulation.
A is an array 24 x 2. I am going to split it and get 4 or 12 array. It means that I group 6 or 2 array. It will be ok, if I use even "split" coefficient. If it is odd, I can"t split A.[ I can't group 5 or 7, because of 24/5=4*5 + 4 ( or 5*5 -1) or 24/7=7*3+3.
That's why I going to do the following:
If I have 24 x 2 and need group every 5 together:
block 1 : A(1,:), A(2,:),A(3,:),A(4,:),A(5,:)
block 2 : A(6,:), A(7,:),A(8,:),A(9,:),A(10,:)
block 3 : A(11,:), A(12,:),A(13,:),A(14,:),A(15,:)
block 4 : A(16,:), A(17,:),A(18,:),A(19,:),A(20,:)
block 5 : A(21,:), A(22,:),A(23,:),A(24,:), ?
As you can see the 5th block is not full, Matlab gives me an error. My idea is to create A(25,:)=0. For my simulation it will be ok.
I am going to simulate it as function:
A=rand(m,n)
w- # number of a vector that i would like group together ( in ex., it is `5`)
if mod(w,2)==0
if mod(m,2)==0
% do....
else
% remainder = 0
end
else
if mod(m,2)==0
% remainder = 0
else
%do...
end
I was going to simulate like above, but then I have noticed that it doesn't work. Because 24/10 = 2*10+4. So I should write something else
I can find the reminder as r = rem(24,5). As an example above, MatLab gives me r=4. then I can find a difference c= w-r =1 and after that, I don't know how to do that.
Could you suggest to me how to simulate such a calculation?
Determine the number of blocks needed, calculate the virtual amount of rows needed to fill these blocks, and add as many zero rows to A as the difference between the virtual and actual amount of rows. Since you didn't mention, what the actual output should look like (array, cell array, ...), I chose a reshaped array.
Here's the code:
m = 24;
n = 2;
w = 5;
A = rand(m, n)
% Determine number of blocks
n_blocks = ceil(m / w);
% Add zero rows to A
A(m+1:w*n_blocks, :) = 0
% Reshape A into desired format
A = reshape(A.', size(A, 1) / n_blocks * n, n_blocks).'
The output (shortened):
A =
0.9164959 0.1373036
0.5588065 0.1303052
0.4913387 0.6540321
0.5711623 0.1937039
0.7231415 0.8142444
0.9348675 0.8623844
[...]
0.8372621 0.4571067
0.5531564 0.9138423
A =
0.91650 0.13730
0.55881 0.13031
0.49134 0.65403
0.57116 0.19370
0.72314 0.81424
0.93487 0.86238
[...]
0.83726 0.45711
0.55316 0.91384
0.00000 0.00000
A =
0.91650 0.13730 0.55881 0.13031 0.49134 0.65403 0.57116 0.19370 0.72314 0.81424
0.93487 0.86238 0.61128 0.15006 0.43861 0.07667 0.94387 0.85875 0.43247 0.03105
0.48887 0.67998 0.42381 0.77707 0.93337 0.96875 0.88552 0.43617 0.06198 0.80826
0.08087 0.48928 0.46514 0.69252 0.84122 0.77548 0.90480 0.16924 0.82599 0.82780
0.49048 0.00514 0.99615 0.42366 0.83726 0.45711 0.55316 0.91384 0.00000 0.00000
Hope that helps!

matlab complex for-loop correlation calcul

This is the script that I have. It works till the ------ separation. Under I do not get any error from Matlab, but neither do I get a return of bestDx nor bestDy. Please help. (The first part is given just to put you in context)
%%
% Variables after running script Read_eA3_file.m
%date_time_UTC
%reflectivity
%clutter_mask
%Convert units
dBZ = reflectivity * 0.375 - 30;
dBZ_Mask = clutter_mask * 0.375 - 30;
%Replace clutter values with NaN
weather = NaN(size(dBZ)); %initialise to constant
weather(dBZ>=dBZ_Mask) = dBZ(dBZ>=dBZ_Mask); %copy values when A >= B
%Reduce to range -- those are 384x384 arrays
dBZ_range = dBZ(:,:,1:16); %16:18 to 16:23 included
weather_range = weather(:,:,1:16); %16:18 to 16:23 included
weather1618 = weather(:,:,1); %16:18 map only
weather1623 = weather(:,:,16); %16:23 map only
% Plot maps
image(imrotate(-weather1618,90)); %of 16:18
image(imrotate(-weather1623,90)); %of 16:23
%Find x,y of strongest dBZ
%Since the value are all negative. I look for their minimun
[M,I] = min(weather1618(:)); %for 16:18
[I_row, I_col] = ind2sub(size(weather1618),I); %values are 255 and 143
[M2,I2] = min(weather1623(:)); %for 16:23
[I2_row, I2_col] = ind2sub(size(weather1623),I2); %values are 223 and 7
%Calc displacement
%I get a value of 139.7140
max_displ=sqrt((I2_row-I_row)^2+(I2_col-I_col)^2); %between 1618 and 1623
%%
% -----Section below does not work; ONLY RUN the section ABOVE---------
%% Find Dx Dy for max_corr between two maps
maxCoeff=0;
weather1618Modified = zeros(384,384); %create weather array for time range
%weather1618Modified(:) = {NaN}; % Matlab cannot mix cell & double
%%
for x = 1:384
for y = 1:384
%30 pixel appx.
for Dx = -max_displ:30: max_displ
for Dy = -max_displ:30: max_displ
%Limit range of x+Dx and y+Dy to 1:384
if x+Dx<1 | y+Dy<1 | x+Dx>384 | y+Dy>384
continue
%weather1618Modified is the forecasted weather1823
weather1618Modified(x+Dx,y+Dy) = weather1618(x,y)
%Find the best correlation; Is corrcoef the right formula?
newCoeff=corrcoef(weather1623,weather1618Modified);
if newCoeff>maxCoeff
maxCoeff=newCoeff;
bestDx=Dx;
bestDy=Dy;
end
end
end
end
end
end
%% Calc displacement
bestDispl = sqrt(bestDx^2+bestDy^2); %bestDispl for a 5 min frame
%Calc speed
speed = bestDispl/time;
You have to delete the continue statement after the first if (or place it somewhere else).
The continue statement makes the program skip the remaining part of the for-loop and go directly to the next iteration. Therefore bestDx and bestDy will never be set.
Documentation: https://se.mathworks.com/help/matlab/ref/continue.html

Threads synchronization in C

I'm trying to make a project as follows:
I'll have 10 threads, each controlling a column of 10 rectangular box.(10 columns of 10 boxes each) And at every 3s or so, I need 2 of them to change colour(i.e. red), such that at any point of time, there should be 2 red columns of 10 red boxes out of 10.
The current code I have for the column of boxes:
void* thread_func_1() {
while (1) {
if (randomNo1 == 1 || randomNo2 == 1) {
sema_wait(&sem) ;
drawRedBoxes();
sleep(3000);
drawBlueBoxes();
sema_post(&sem);
randomize(); // random 2 more numbers
}else{
drawBlueBoxes();
}
}
void randomize(){
do{
randomNo1 = 1 + rand()/ (RAND_MAX/(10) + 1);
randomNo2 = 1 + rand()/ (RAND_MAX/(10) + 1);
} while (randomNo1 == randomNo2);
}
Edit: All the 10 threads are of similar code. The drawBoxes function draws the 10 rectangular boxes in the column.
Not the exact code but it is something like this. Ideally I would want the 2 new red columns to appear together(or at least a very very short time delay between them), but I realised after awhile, it is really obvious that 1 red colum appear some time after another. How can I solve this problem?

Porting codes from MATLAB to C(OpenCV)

I've been working on trying to port a small meanshift tracking program, which is sort of different from the meanshift that involves performing back-projection, from MATLAB to C, but I'm having some problems with it.
I don't know how to interpret some of the lines from MATLAB to C(OpenCV).
https://drive.google.com/drive/folders/0B2r9FmkcbNwAbHdtVEVkSW1SQW8
I put the 2 .m files, 1 .cpp file and a directory where pictures are placed for both programs to use on my googledrive.
"demo_MultiMeanShift_1st_ver_0413.m" is what I'd like to port to C,
"boxfilter.m" is the function that's found in the following website:
http://blog.csdn.net/wds555/article/details/23176313
(It's a Chinese website however)
and "Meanshift_demo.cpp" is what I've done so far.
There're mainly two parts that I don't know how to interpret from MATLAB to C:
1st part:
bas = zeros(hei,wid,N) ;
for i = 1 : 1 : N
bas(:,:,i) = boxfilter( ones(hei,wid), floor(r/i) ) ;
end
Ic_mean = zeros(hei,wid,dep,N) ;
for i = 1 : 1 : N
for d = 1 : 1 : dep
%Average pixel value(s) of the object being tracked
Ic_mean(pc(2)-(r+sw) : pc(2)+(r+sw), pc(1)-(r+sw) : pc(1)+(r+sw), d, i) = boxfilter(Ip(pc(2)-(r+sw) : pc(2)+(r+sw), pc(1)-(r+sw) : pc(1)+(r+sw),d), floor(r/i)) ./ bas(pc(2)-(r+sw) : pc(2)+(r+sw), pc(1)-(r+sw) : pc(1)+(r+sw),i);
%Ic_mean(:,:,d,i) = boxfilter(Ip(:,:,d), floor(r/i)) ./ bas(:,:,i);
end
end
dis = zeros(1,N) ;
2nd part:
for i = -sw + pc(2) : 2 : sw + pc(2)
for j = -sw + pc(1) : 2 : sw + pc(1)
for d = 1 : 1 : N
dis(d) = sqrt( ... % (p1(R1, G1, B1) - p2(R2, G2, B2))^2
( Ic_mean(i,j,1,d) - Ip_mean(pc(2),pc(1),1,d) )^2 ...
+ ( Ic_mean(i,j,2,d) - Ip_mean(pc(2),pc(1),2,d) )^2 ...
+ ( Ic_mean(i,j,3,d) - Ip_mean(pc(2),pc(1),3,d) )^2 );
end
if disMin > mean(dis)
disMin = mean(dis) ;
i_hold = i ;
j_hold = j ;
end
end
end
In MATLAB I can read, access and change pixel values directly, such as:
Img(x,y) = 0 to set some pixel value to be 0
or
Img(:,:,1) = 1 to set the pixels of certain channel to all be 0.
Can I also do those things as rapidly as what's shown above is in OpenCV?
In MATLAB I can read, access and change pixel values directly, such
as:
Img(x,y) = 0 to set some pixel value to be 0 or Img(:,:,1) = 1 to set
the pixels of certain channel to all be 0.
Can I also do those things as rapidly as what's shown above is in
OpenCV?
Of course this is possible. To set value of single pixel use:
img.at<img_single_element_type>(y,x) = 0;
where img_single_element_type depends on mat type and might be double, unsigned char, int, etc... See documentation for more information.
To set values in whole image (or part of image) use setTo method.
I don't know much about Matlab, so i can't help you with porting this code, but look at this and this project. It's similar project (object tracker - Open TLD(Tracking Learning Detection) aka Predator) written in Matlab(first link) and ported to C++(second link). Hope it helps.

reordering a complicated list fo data

I have a very useful script that creates this kind of (long) lists:
The first elements are x y coordinates on a 2D surface.
The next elements are ordered so:
['colorName1', 'colorName2', 'colorName3', 'colorName4']
[ density1, density2, density3, density4]
*
1 2 ['PINKwA','GB','PINK','TUwA'] [0.23816363 0.61917833 0.01219634 0.13046169]
1 3 ['PINKwA','GB','PINK','TUwA'] [0.23638376 0.6241587 0.01482295 0.12463459]
1 4 ['PINKwA','GB','PINK','TUwA'] [0.23460388 0.62913907 0.01744955 0.11880749]
1 5 ['PINKwA','GB','PINK','TUwA'] [0.23282401 0.63411944 0.02007616 0.11298039]
... and it continues ... the color names are changing and also their order
3 55 ['OR0A','PINK','PINKwA','GB'] [0.08645924 0.09921065 0.08746096 0.72686915]
3 56 ['OR0A','PINK','PINKwA','GB'] [0.08900035 0.10021389 0.0836124 0.72717336]
3 57 ['OR0A','PINK','PINKwA','GB'] [0.09154145 0.10121713 0.07976385 0.72747757]
4 1 ['PINKwA','GB','PINK','TUwA'] [0.26096751 0.61844932 0.01412691 0.10645625]
4 2 : ['PINKwA','GB','PINK','TUwA'] [0.25918763 0.62342969 0.01675352 0.10062915]
...etc.
I have a list of the colorName's, and a list of the x y coordinates
I would like to find a solution to extract for each color name
(1) the set of x y coordinates at which they appear with:
(2) the corresponding density
(3) set the density to 0 if the colorName is not present
Any ideas??
I suggest you to create a data structure that hold color, density and coordinates as its properties.
Now you can iterate through the list of the data structures to find your color and extract its properties easily.
About density of nameless color, you can check for color name before setting other properties.
The data structure should be something like this
Color
{
colorName
posX
posY
density
}

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