MATLAB: Detecting plateau in a data.

plateau

Hi All, more info and better clarification in reply.

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Hi All,

I have this profile presented in image.

I need to detect the point where the value falls to zero. Forms a plateau. This plateau changes for various experiments so the moving average technique is not efficient.

Currently I can carry out a linear fitting whether I threshold a gradient. However the small number of data points in this set makes it difficult to determine the true value. I was wondering if anyone can guide towards the right direction.

Many thanks

Best Answer

Why is 81-85 not also a plateau?

You can use diff() or stdfilt() to determine where the variability of your data is low. This will find a plateau at any level. Combine this with ANDing of your data to get plateaus that are low, like less than 0.5 or whatever.

Attach your data for more help.

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It definitely DOES work, but you need to make your mask in the range 0-1. Here's proof:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
clearvars;
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;
format compact;
% Read in a standard MATLAB color demo image.
folder = fullfile(matlabroot, '\toolbox\images\imdemos');
baseFileName = 'peppers.png';
fullFileName = fullfile(folder, baseFileName);
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
  % Didn't find it there.  Check the search path for it.
  fullFileName = baseFileName; % No path this time.
  if ~exist(fullFileName, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 3.
[rows columns numberOfColorBands] = size(rgbImage);
% Display the original color image.
subplot(2, 2, 1);
imshow(rgbImage, []);
title('Original Color Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]); % Maximize figure.
mask = zeros(rows, columns, 'uint8');
mask(30:300, 50:150) = 1;
% Normalize to 0 - 1.
mask = mask / 255;
% Display the mask.

subplot(2, 2, 2);
imshow(mask, []);
title('Mask', 'FontSize', fontSize);
maskedRgbImage = bsxfun(@times, rgbImage, cast(mask,class(rgbImage)));
% Display the mask.
subplot(2, 2, 3);
imshow(maskedRgbImage, []);
title('MaskedImage', 'FontSize', fontSize);

Best Answer

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