character segmentation

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Ashish
Ashish on 25 Apr 2011
Commented: ezhil K on 10 Feb 2019
hi, i have obtained this code from a website,for character segmentation, i am unable to understand a particular line in this code , could any body explain me...
code:-
clear all;
close all;
I = imread('plate.jpg');
BW = im2bw(I, 0.9);
BW = ~BW;
stats = regionprops(BW);
for index=1:length(stats)
if stats(index).Area > 200 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000
x = ceil(stats(index).BoundingBox(1))
y= ceil(stats(index).BoundingBox(2))
widthX = floor(stats(index).BoundingBox(3)-1)
widthY = floor(stats(index).BoundingBox(4)-1)
subimage(index) = {BW(y:y+widthY,x:x+widthX,:)};
figure, imshow(subimage{index})
end
end
what does this line do:
if stats(index).Area > 200 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000

Accepted Answer

Walter Roberson
Walter Roberson on 25 Apr 2011
For a 2 dimensional image, BoundingBox(3) will be the x width and BoundingBox(4) will be the y width of the bounding box.
The Area is the actual number of pixels in the region; the product of the widths is the number of pixels that are within the bounding box.
  6 Comments
vinod ch
vinod ch on 2 Mar 2014
Edited: vinod ch on 2 Mar 2014
what does the boundingBox contains can you explain it briefly about this code... i mean how it was able to detect exactly it is the character and on what parameters it separated them. can you explain me
ezhil K
ezhil K on 10 Feb 2019
I have used the same code.But,I get error as follows:
Error:
Reference to non-existent field 'Area'.
Error in Shi_tomashi (line 142)
if stats(index).Area > 100 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000
How should I resolve this?

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More Answers (1)

SATYAVIR SINGH KUNTAL
SATYAVIR SINGH KUNTAL on 26 Apr 2011
@ashish.. could u give me the link of the site from which u got this piece of code... thanxx..
  1 Comment
Ashish
Ashish on 26 Apr 2011
Here is the link:
http://stackoverflow.com/questions/5305712/how-to-perform-character-segmentation-in-matlab
there is a sample image along with the code.

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