MATLAB: Grainy GreyScale Image

datagraphimage analysisimage processingMATLAB and Simulink Student Suite

The first image is a screenshot of some data in jpeg format. I converted this into greyscale and applied medfilt2() to try to reduce noise in image 2. In Image 3 I converted all the white points to red and it shows there is alot more than I thought there would be.

I am basically trying to convert the screenshot into a graph where I can interpret the data.

Are any ways to improve the process?

Thanks

Best Answer

To remove noise from image you can try different noise removal functions in MATLAB.

You can find filtering functions here : https://www.mathworks.com/help/images/noise-removal.html

You can also try Bilateral Filtering if above functions fails to give desired results. Find its implementation here: https://www.mathworks.com/matlabcentral/fileexchange/12191-bilateral-filtering

You can consider extracting curvature of the image using bwboundaries, you can find code for the same here : https://www.mathworks.com/matlabcentral/answers/164349-how-to-calculate-the-curvature-of-a-boundaries-in-binary-images

I have tried the same code for your image, and I have attached the result after passing your image as an input.

Hope this helps!

Related Solutions

MATLAB: Crop greyscale image using matlab

Try this:

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
clear;  % Erase all existing variables. Or clearvars if you want.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 20;
%===============================================================================
% Read in a standard MATLAB gray scale demo image.
folder = pwd;
baseFileName = 'PAR1_1.jpg';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
  % The file doesn't exist -- didn't find it there in that folder.  
  % Check the entire search path (other folders) for the file by stripping off the folder.
  fullFileNameOnSearchPath = baseFileName; % No path this time.
  if ~exist(fullFileNameOnSearchPath, 'file')
    % Still didn't find it.  Alert user.
    errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName);
    uiwait(warndlg(errorMessage));
    return;
  end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image.  
% numberOfColorChannels should be = 1 for a gray scale image, and 3 for an RGB color image.
[rows, columns, numberOfColorChannels] = size(rgbImage);
% Display the image.


subplot(2, 2, 1);
imshow(rgbImage, []);
title('Original Color Image', 'FontSize', fontSize, 'Interpreter', 'None');
% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0, 1, 1]);
% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off') 
grayImage = rgb2gray(rgbImage);
binaryImage = imfill(grayImage ~= 255, 'holes');
binaryImage = bwareafilt(binaryImage, 1); % Extract only the largest.
% Display the image.
subplot(2, 2, 2);
imshow(binaryImage, []);
title('Binary Image', 'FontSize', fontSize, 'Interpreter', 'None');
labeledImage = bwlabel(binaryImage);
props = regionprops(labeledImage, 'BoundingBox');
% Crop the image
croppedImage = imcrop(grayImage, props.BoundingBox);
% Display the image.
subplot(2, 2, 3:4);
imshow(croppedImage, []);
title('Cropped Image', 'FontSize', fontSize, 'Interpreter', 'None');

MATLAB: Need a matlab code for image segmentation

Here it is

http://www.mathworks.com/matlabcentral/fileexchange/25157-image-segmentation-tutorial-blobsdemo

Code is written by Image Analyst.

Best Answer

Related Solutions

MATLAB: Crop greyscale image using matlab

MATLAB: Need a matlab code for image segmentation

Related Question