MATLAB: Obtain all Data Cursor Values

boundary recognitionimage processing

Hello,

I've been a long time MatLab user but at a basic level only. I am trying to do some image analysis which will utilize a webcamera to capture some images. These images will then go under boundary recognition which will provide me with a figure of where the boundary was found. Specifically, the objective is to detect flowers and weeds. I was able to find references online on how to do this and found a file on exchange which allows me to obtain the boundaries. However, I am unable to get the data points of these boundaries. For example, MatLab is able to plot the boundary of a flower and display the boundary only on a white background. How do I go about obtaining the x and y coordinates of the entire boundary into the workspace? I need to do this so that I can determine the exact location the flower was found and can then send the signal to arduino. Which brings me to my second question: how do I interface MatLab with Arduino? I found the ArduinoIO package on the mathworks site – is that all I need?

Best Answer

regionprops() can do it, as can bwboundaries()

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If you can get data to the command window, then you can use XLSWRITE to bring it to Excel.

MATLAB: Cursor line

This can be done with a little handle graphics. I don't have time right now to make this code perfect (error checking, special cases handling, commenting(!), etc.), but it should give you something of an idea. Run this function then hit the left and right arrow to see what happens.

function [] = data_subplots()
% Link data cursors so that they track accross subplots.
% Create the subplots.
% Alternatively, use GET to create s and L from existing plots.
x = 1:.1:10;
for ii = 1:3
    s(ii) = subplot(3,1,ii);
    L(ii) = plot(x,sin(x/ii)*ii);
end
% Now start the work.
for ii = 1:length(s)
    S.D{ii} = get(L(ii),{'xdata','ydata'});
    S.L(ii) = length(S.D{ii}{1});    
    S.M(ii) = floor(S.L(ii)/2);
    S.DF = diff(S.D{ii}{1}(S.M(ii):S.M(ii)+1)); % uniform assum
    S.I(ii) = S.M(ii);
    S.T(ii) = text(S.D{ii}{1}(S.M(ii)+2),S.D{ii}{2}(S.M(ii)+2),'here');
    set(S.T(ii),'string',{['X: ',sprintf('%3.3g',S.D{ii}{1}(S.M(ii)))];...
        ['Y: ',sprintf('%3.3g',S.D{ii}{2}(S.M(ii)))]},...
        'parent',s(ii),'backgroundco',[.8 .8 0]);
    set(s(ii),'nextplot','add')
    S.F(ii) = plot(s(ii),S.D{ii}{1}(S.M(ii)),S.D{ii}{2}(S.M(ii)),'sk');
    set(S.F(ii),'markerfacec','b')
end
set(gcf,'keypressfcn',{@fh_kpfcn,S})
function [] = fh_kpfcn(varargin)
D = varargin{2}.Key;
S = varargin{3};
if strcmp(D,'leftarrow')
    for ii = 1:length(S.T)
        if S.I(ii)~=1
            S.I(ii) = S.I(ii)-1;
            set(S.F(ii),'xdata',S.D{ii}{1}(S.I(ii)),...
                'ydata',S.D{ii}{2}(S.I(ii)))
            set(S.T(ii),'position',...
                [S.D{ii}{1}(S.I(ii))+S.DF*2,S.D{ii}{2}(S.I(ii))],...
                'string',{['X: ',sprintf('%3.3g',S.D{ii}{1}(S.I(ii)))];...
                ['Y: ',sprintf('%3.3g',S.D{ii}{2}(S.I(ii)))]})
        end
    end
elseif strcmp(D,'rightarrow')
    for ii = 1:length(S.T)
        if S.I(ii)~=S.L(ii)
            S.I(ii) = S.I(ii)+1;
            set(S.F(ii),'xdata',S.D{ii}{1}(S.I(ii)),...
                'ydata',S.D{ii}{2}(S.I(ii)))
            set(S.T(ii),'position',...
                [S.D{ii}{1}(S.I(ii))+S.DF*2,S.D{ii}{2}(S.I(ii))],...
                'string',{['X: ',sprintf('%3.3g',S.D{ii}{1}(S.I(ii)))];...
                ['Y: ',sprintf('%3.3g',S.D{ii}{2}(S.I(ii)))]})
        end
    end
end
set(gcf,'keypressfcn',{@fh_kpfcn,S})  % Update the structure.

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