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How to arrange the shape# (Blob#) in proper order (ascending/descending)?

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Saqib Sharif
Saqib Sharif 2017-9-10
编辑： Walter Roberson 2017-9-13
Hello, I am using matlab to recognize the all square object. I need centriods of each square. I am using the following:
[labeledImage, numberOfObjects] = bwlabel(binaryImage);
s = regionprops(labeledImage,'centroid');
to get the centriods. But these shape numbers are so random and I am struggling to arrange it in any proper way. I have to dot it manually which is quite time consuming. Any expert comments will be highly appreciated.
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  1 个评论
Saqib Sharif
Saqib Sharif 2017-9-10
My complete Code:
function mesh
ImageFile=('GIST_S16_03.tif');
RGB = imread(ImageFile);
GRAY = rgb2gray(RGB);
threshold = adaptthresh(GRAY,0.613);
BW = imbinarize(GRAY, threshold);
BW = ~ BW;
binaryImage = imfill(BW,'holes');
binaryImage = bwareaopen(binaryImage, 800);
[labeledImage, numberOfObjects] = bwlabel(binaryImage);
filledImage = imfill(binaryImage, 'holes');
boundaries = bwboundaries(filledImage);
figure
imshow(labeledImage);
title('Binary Image with centriods');
hold on
s = regionprops(labeledImage,'centroid');
centroids = cat(1, s.Centroid);
x=centroids(:,1);
y=centroids(:,2);
plot(x,y, 'r*');
for blobNumber = 1 : numberOfObjects
thisBoundary = boundaries{blobNumber};
plot(thisBoundary(:,2), thisBoundary(:,1), 'r', 'LineWidth', 2);
overlayMessage = sprintf('%d',blobNumber);
text(centroids(blobNumber,1), centroids(blobNumber,2), ...
overlayMessage, 'Color', 'g','FontSize',14);
end

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采纳的回答

Jim Joy
Jim Joy 2017-9-13
Hi Saqib,
The labeled image that you have shown is consistent with the conventions that "bwlabel" uses to label the image. The labeling occurs like this because "bwlabel" searches down each column, and labels each region based on when it encounters a pixel first. That is, regions with pixels further leftward than others will be counted first. You can read more about this in the blog post linked below:
https://blogs.mathworks.com/steve/2008/04/14/relabeling-a-label-matrix/
To relabel the image regions in the manner that you would like, I would recommend looping over the columnar structure of your labeled image, and relabeling the regions based on the y-positions of the centroid. For example, the first 'column' would be transformed from [8, 9, 6, 5, 7, 3, 4, 2] to [2, 3, 4, 5, 6, 7, 8, 9]. Please note that looping in this fashion will require some level of filtering to divide the image into columns.
I hope this helps.
Jim
  1 个评论
Walter Roberson
Walter Roberson 2017-9-13
编辑：Walter Roberson 2017-9-13
s = regionprops(labeledImage,'centroid');
cents = vertcat(s.Centroid);
[~, sortidx] = sortrows(cents);
s = s(sortidx);
Though as Jim points out you might want to do some smoothing on the x coordinates, or some quantization.

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