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How to extract an object from an image

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I've got this code to extract a single cashew from a image containing multiple cashews. I need the extracted image to be RGB as well.
cashew_RGB = imread('White Wholes 180.jpg');
cashew_BW = img_BW(cashew_RGB);
cashew_stats = regionprops(bwlabel(cashew_BW),'BoundingBox');
cashew_single = imcrop(cashew_RGB,cashew_stats(i).BoundingBox);
I have attached the image and the user-defined function 'img_BW' which converts RGB image to black and white If you execute the code you'll find that the extracted cashew image has an invasion from the neighboring cashew. Is there any way to extract the cashew without such invasions? Thanks for your help!

Risposta accettata

Image Analyst
Image Analyst il 13 Dic 2015
You can't use the bounding box or else you may have incursions from another blob that juts into the bounding box. You have to use either PixelList from regionprops, or (easier) use ismember() with the blob you want to extract:
thisBlob = ismember(labeledImage, blobIndexToExtract) > 0;
  6 Commenti
nour n
nour n il 10 Gen 2017
how to extract the object without the black background?
Jan il 10 Gen 2017
@nour: Please use flags for pointing out inproper use of the forum. Instead of attaching a new question as a comment, open a new thread. Thanks.

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Più risposte (2)

r r
r r il 8 Ago 2018
I have an image I want to extract the small areas of black color within the blue How so؟؟؟
  1 Commento
Image Analyst
Image Analyst il 8 Ago 2018
Start your own new, separate question and I'll show you how.

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Arnab Banerjee
Arnab Banerjee il 13 Set 2019
first, convert to gray, by rgb2gray(), then find the perfect threshold of the region from the image matrix. it can be aslo done in RGB image if you knew the R:G:B ration of the threshold.
lastly, past the bounded area in a mask, or extract the partcular threshold


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