applying same function to different image areas
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Hi everyone. I uploaded an image, cropped it and divided it into 4 stripes like this:
>> I = imread(fullImageFileName);
[Crop, rect] = imcrop(I);
[r, c, p] = size(Crop);
Crop(1:r/4:r,:,:)=255;
A = Crop(1:r/4,:,:);
B = Crop(r/4+1:r/2,:,:);
C = Crop(r/2+1:3*r/4,:,:);
D = Crop(3*r/4+1:r,:,:);
imshow(Crop);
And I have a function from SimpleColorDetectionByHue() that is defined here:
>> function [meanHSV, areas, numberOfBlobs] = MeasureBlobs(maskImage, hImage, sImage, vImage)
try
[labeledImage, numberOfBlobs] = bwlabel(maskImage, 8); % Label each blob so we can make measurements of it
if numberOfBlobs == 0
% Didn't detect any blobs of the specified color in this image.
meanHSV = [0 0 0];
areas = 0;
return;
end
% Get all the blob properties. Can only pass in originalImage in version R2008a and later.
blobMeasurementsHue = regionprops(labeledImage, hImage, 'area', 'MeanIntensity');
blobMeasurementsSat = regionprops(labeledImage, sImage, 'area', 'MeanIntensity');
blobMeasurementsValue = regionprops(labeledImage, vImage, 'area', 'MeanIntensity');
meanHSV = zeros(numberOfBlobs, 3); % One row for each blob. One column for each color.
meanHSV(:,1) = [blobMeasurementsHue.MeanIntensity]';
meanHSV(:,2) = [blobMeasurementsSat.MeanIntensity]';
meanHSV(:,3) = [blobMeasurementsValue.MeanIntensity]';
% Now assign the areas.
areas = zeros(numberOfBlobs, 3); % One row for each blob. One column for each color.
areas(:,1) = [blobMeasurementsHue.Area]';
areas(:,2) = [blobMeasurementsSat.Area]';
areas(:,3) = [blobMeasurementsValue.Area]';
catch ME
errorMessage = sprintf('Error in function %s() at line %d.\n\nError Message:\n%s', ...
ME.stack(1).name, ME.stack(1).line, ME.message);
fprintf(1, '%s\n', errorMessage);
uiwait(warndlg(errorMessage));
end
return; % from MeasureBlobs()
And recalled in the main as here:
>> % Measure the mean HSV and area of all the detected blobs.
[meanHSV, areas, numberOfBlobs] = MeasureBlobs(coloredObjectsMask, hImage, sImage, vImage);
if numberOfBlobs > 0
fprintf(1, '\n----------------------------------------------\n');
fprintf(1, 'Blob #, Area in Pixels, Mean H, Mean S, Mean V\n');
fprintf(1, '----------------------------------------------\n');
for blobNumber = 1 : numberOfBlobs
fprintf(1, '#%5d, %14d, %6.2f, %6.2f, %6.2f\n', blobNumber, areas(blobNumber), ...
meanHSV(blobNumber, 1), meanHSV(blobNumber, 2), meanHSV(blobNumber, 3));
end
I want to repeat this function for the 4 regions of my image and display the 'regional' results, then maybe group the 'total' results in a matrix using a sum. How can I do it? Thanks a lot :)
0 commentaires
Réponse acceptée
Image Analyst
le 26 Oct 2017
Just call it 4 times
[meanHSVA, areasA, numberOfBlobsA] = MeasureBlobs(maskImageA, hImageA, sImageA, vImageA)
[meanHSVB, areasB, numberOfBlobsB] = MeasureBlobs(maskImageB, hImageB, sImageB, vImageB)
[meanHSVC, areasC, numberOfBlobsC] = MeasureBlobs(maskImageC, hImageC, sImageC, vImageC)
[meanHSVD, areasD, numberOfBlobsD] = MeasureBlobs(maskImageD, hImageD, sImageD, vImageD)
2 commentaires
Adam
le 27 Oct 2017
Saying 'it doesn't work' and 'doesn't seem to help' is not much use. Tell us exactly what doesn't work. Do you get an error? Do you get incorrect results? etc etc.
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Feature Detection and Extraction dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!