Code shows"Integer operands are required for colon operator when used as index "

Here is an code which i've written but it shows a warning and stops executing. I tried using round for 'noise' variable,still the code didn't work.

% Load image img = imread('gel.png'); img = rgb2gray(img);

    % Identify lanes
    imshow(img)
    [x,y] = ginput;

    % Invert image
    img = max(img(:)) - img;

    % Subtract background
    [xn,yn] = ginput(1);
    noise   = img((yn-2):(yn+2), (xn-2):(xn+2));
    noise   = mean(noise(:));
    img     = img - noise;

    % Calculate means
    means = (1:size(img,1)) * double(img(:,round(x))) ./ sum(double(img(:,round(x))), 1);

    % Plot
    hold on
    plot(x, means, 'r.')

[Tim]

Hey Arjit, at which line is MATLAB showing a error?

[IPlover]

Warning: Image is too big to fit on screen; displaying at 33% > In imuitools\private\initSize at 72 In imshow at 259 In c4 at 6 Warning: Integer operands are required for colon operator when used as index > In c4 at 15

[IPlover]

Please help ASAP as within a few hours i have to get the code running.

[Walter Roberson]

http://www.mathworks.com/matlabcentral/answers/29922-why-your-question-is-not-urgent-or-an-emergency

Answer 1

[Image Analyst]

gniput returns fractional floating point values. But then you try to use it as an index (yn-2):(yn+2). That won't work if yn = 42.34567. Try casting to int32 first before using as an index.

yn = int32(in);

[IPlover]

I tried again and it is still showing error

% Load image
img = imread('c.jpg');

img = rgb2gray(img);

% Identify lanes
imshow(img)

[x,y] = ginput;

% Invert image
img = max(img(:)) - img;

% Subtract background
yn=int32(in);

[xn,yn] = ginput(1);

noise   = img((yn-2):(yn+2), (xn-2):(xn+2));

noise   = mean(noise(:));

img     = img - noise;

% Calculate means

means = (1:size(img,1)) * double(img(:,round(x))) ./ sum(double(img(:,round(x))), 1);

% Plot

hold on

plot(x, means, 'r.')

[Walter Roberson]

You do the ginput, and then you calculate yn as integral valued from it, and then you immediately write over yn and use the floating value from it. You should do this:

[x,y] = ginput;
xnl = max(ceil(x)-2, 1);
xnh = min(floor(x)+2, size(img,2));
ynl = max(ceil(y)-2, 1);
ynh = min(floor(x)+2, size(img,1));

noise = imag(ynl:ynh, xnl:xnh);
noise   = mean(noise(:));

means = (1:size(img,1)) * mean(double(img(:,ceil(x))));

I don't know why you are weighting the means by the row number?

The choice of floor() and ceil() that I used was to maximize the likelihood that the calculation would stay inside the array. I then added min() and max() to force it to be inside on the boundaries. Except that I didn't bother to code it for the means: really you should make sure it is in the array, but as you have seen the pattern now you can modify the code yourself.