I have one image with a circle, outside the circunference the color are black inside the circle the color before convert to grayscale, is gray, how can apply after normalize de image apply a mask who convert a the background in same color (gray). https://www.dropbox.com/sc/zfp80poi11m8q55/lnRX67BT4L exemple image A and B
MATLAB: One image 2 diferent colors ,
background normalizationpreprossesing image
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That has nothing to do with log. That's a standard Laplacian high boost filter. Here, try this:
grayImage = imread('peppers.png');imshow(grayImage);% 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(grayImage);if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
grayImage = rgb2gray(grayImage); % ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
% grayImage = grayImage(:, :, 2); % Take green channel.
end% Display the image.
subplot(2, 1, 1);imshow(grayImage, []);title('Original Grayscale Image', 'FontSize', fontSize, 'Interpreter', 'None');h = [-1 -1 -1; -1 9 -1; -1 -1 -1]filteredImage = conv2(double(grayImage), h, 'same');% Display the image.subplot(2, 1, 2);imshow(filteredImage, [0, 255]);title('Filtered Image', 'FontSize', fontSize, 'Interpreter', 'None');
Christine
you only plot 4 images, yet in the command subplot your are telling it to make room for 6 images, let me explain:
1. command subplot(a,b,c) has 3 fields
2. a and b define the a rows b columns that you want the outline to size
so, because you are saying a=3 b=3, command subplot is sizing 9 spaces
3.
field c is the position of the image reading the columns left to right, sequentially.
For 3x3 c would follow this order, start reading top left corner downwards
1 4 72 5 83 6 9your code with modified subplot indices, and this image:
format long g; format compact; captionFontSize = 14;FileName = 'dirty_water.jpg'; originalImage = imread(FileName);% Checks for grayscale images
[rows, columns, numberOfColorChannels] = size(originalImage); if numberOfColorChannels > 1 promptMessage = sprintf('Your image file has %d color channels.\nThis demo was designed for grayscale images.\nDo you want me to convert it to grayscale for you so you can continue?', numberOfColorChannels); button = questdlg(promptMessage, 'Continue', 'Convert and Continue', 'Cancel', 'Convert and Continue'); if strcmp(button, 'Cancel') fprintf(1, 'Finished running micellesDemo.m.\n'); return; endoriginalImage = rgb2gray(originalImage); endh1=figure(1);subplot(2, 2, 1); imshow(originalImage); set(gcf, 'units','normalized','outerposition',[0 0 1 1]);[pixelCount, grayLevels] = imhist(originalImage); subplot(2, 2, 2); bar(pixelCount); title('Histogram of original image', 'FontSize', captionFontSize); xlim([0 grayLevels(end)]); grid on;thresholdValue = 100; binaryImage = originalImage > thresholdValue; binaryImage = imfill(binaryImage, 'holes');% Show the threshold as a vertical red bar on the histogram. hold on;
maxYValue = ylim; line([thresholdValue, thresholdValue], maxYValue, 'Color', 'r'); annotationText = sprintf('Thresholded at %d gray levels', thresholdValue); text(double(thresholdValue + 5), double(0.5 * maxYValue(2)), annotationText, 'FontSize', 10, 'Color', [0 .5 0]); text(double(thresholdValue - 70), double(0.94 * maxYValue(2)), 'Background', 'FontSize', 10, 'Color', [0 0 .5]); text(double(thresholdValue + 50), double(0.94 * maxYValue(2)), 'Foreground', 'FontSize', 10, 'Color', [0 0 .5]);imshow(binaryImage); title('Image converted into Binary after thresholding', 'FontSize', captionFontSize);labeledImage = bwlabel(binaryImage, 8); subplot(2, 2, 3); imshow(labeledImage, []); title('Micelle groups', 'FontSize', captionFontSize); micellMeasurements = regionprops(labeledImage, originalImage, 'all'); numberOfmicell = size(micellMeasurements, 1);subplot(2, 2, 4); imshow(originalImage); title('Outlines, from bwboundaries()', 'FontSize', captionFontSize); axis image; hold on; boundaries = bwboundaries(binaryImage); numberOfBoundaries = size(boundaries, 1); for k = 1 : numberOfBoundaries thisBoundary = boundaries{k}; plot(thisBoundary(:,2), thisBoundary(:,1), 'g', 'LineWidth', 2); end; hold off;textFontSize = 14; % Used to control size of "micelle number" labels put atop the image.
labelShiftX = -7; micelleECD = zeros(1, numberOfmicell); fprintf(1,'micelle # Mean Intensity Area Perimeter Centroid Diameter\n'); for k = 1 : numberOfmicell thismicellesPixels = micellMeasurements(k).PixelIdxList; meanGL = mean(originalImage(thismicellesPixels)); meanGL2008a = micellMeasurements(k).MeanIntensity; micelleArea = micellMeasurements(k).Area; micellePerimeter = micellMeasurements(k).Perimeter; micelleCentroid = micellMeasurements(k).Centroid; micelleECD(k) = sqrt(4 * micelleArea / pi); fprintf(1,'#%2d %17.1f %11.1f %8.1f %8.1f %8.1f % 8.1f\n', k, meanGL, micelleArea, micellePerimeter, micelleCentroid, micelleECD(k)); % text(micelleCentroid(1) + labelShiftX, micelleCentroid(2), num2str(k), 'FontSize', textFontSize, 'FontWeight', 'Bold');
text(micelleCentroid(1) + labelShiftX, micelleCentroid(2), num2str(k), 'FontSize', textFontSize, 'FontWeight', 'Bold'); endif you find my answer useful would you please mark it as Accepted Answer by clicking on the ACCEPT ANSWER button?
thanks in advance for time and attention
John BG
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