Effacer les filtres
Effacer les filtres

removing tags from breast thermal image

3 vues (au cours des 30 derniers jours)
Bella
Bella le 14 Jan 2018
Commenté : Image Analyst le 15 Jan 2018
need help to remove background and tags from breast thermal image, I have tried using threshold but it removed some important features I want to use later in classification of breast cancer.
this is the code I used in matlab
[fn,pth]=uigetfile('*.jpg')%%to open an image from any folder
filename=[pth fn]
a=imread(filename);
figure; imshow(a);
bb=rgb2gray(a);
figure;
imshow(bb);
bb = im2double(bb); %convert to double
thresh_level = graythresh(bb); %find best threshold level
c = bb> thresh_level;%do thresholding
figure; imshow(c)
d = bwareafilt(c,1);
figure;imshow(d)
e = im2double(d).*bb; %c is binary, so we need to convert it first
figure;imshow(e,[])

Réponses (1)

Image Analyst
Image Analyst le 14 Jan 2018
It's better to just export the original thermal image without the annotation in there at all, rather than to try to fix up an annotated image. Can you get the original image? I would think so.
  2 commentaires
Bella
Bella le 15 Jan 2018
unfortunately I can't. Because the database that contains these images was sent to me online and all the images have those tags
Image Analyst
Image Analyst le 15 Jan 2018
The images can't be reliably processed in those areas because the data is missing. The best you can do is to estimate what the data should be. It looks like the annotations are all in fixed places. The easiest thing you can do is to make a binary image mask from those known locations, then use regionfill() to smear in values from just outside the boundaries.

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