Effacer les filtres
Effacer les filtres

regionprops

16 vues (au cours des 30 derniers jours)
Mary Kodogianni
Mary Kodogianni le 30 Mar 2011
Commenté : Amit Kumar le 14 Août 2020
I would like someone to give me a good example to understand the use of regionprops with 'PixelList' as a parameter
  3 commentaires
Walter Roberson
Walter Roberson le 25 Mar 2013
Rod, you have not indicated what your question is.
Note: the Image Processing Toolbox is included with the Student Version license, but is not necessarily installed by default.
Amit Kumar
Amit Kumar le 14 Août 2020
You can use Online MATLAB for assessing Image Processing Toolbox. Even I was not having it, but on Online MATLAB platform its available.

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Réponse acceptée

David Young
David Young le 31 Mar 2011
Try this for a start:
img = zeros(5,5);
img(2:4, 2:4) = 1;
props = regionprops(img, 'PixelList');
disp(img);
disp(props.PixelList);
You can change the pattern of ones in img until you're clear about how the result is structured. Another simple but informative example:
img = zeros(5,5);
img(2,2) = 1;
img(4,4) = 2;
props = regionprops(img, 'PixelList');
disp(props(1).PixelList);
disp(props(2).PixelList);
  1 commentaire
Gopika Babu
Gopika Babu le 3 Mar 2020
i have some doubt

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Plus de réponses (1)

Saneem Ahmed
Saneem Ahmed le 31 Mar 2011
regionprops is a function which is used on a labeled image. If we are having an image im. let it be a black and white image( values are either 1's or 0's). Now apply bwlabel to label image for this image.
[label n]=bwlabel(im); %n gives number of clusters, no.of groups of 1's. 0's are considered to be background.
now the label image can be put as input to regionprops to find certain characteristics about each clusters in the image. regionprops can give us area, bounding box, centroid, eccentricity etc of each cluster. 'PixelList' in regionprops will return pixel co-ordinates of each element in cluster. code can be like...
pix = regionprops(label.'PixeList');
list1=pix(1).PixelList; % we have to access like this coz regionprops gives output as a structure. similarly we can access every cluster.
listn=pix(n).PixelList;
  1 commentaire
Sean de Wolski
Sean de Wolski le 31 Mar 2011
It's also to be used with BWCONNCOMP, a much more powerful function.

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