How can I erase the pqtient's name,age,date,time,etc from the following image using matlab code

Please Sir send me the code. It will be very helpful if you send me the complete code

[Stephen23]

This is a popular topic these days:

http://www.mathworks.com/matlabcentral/answers/189622-please-send-me-the-codes-to-remove-the-patient-s-name-date-etc-from-the-image

[Prakash Sharma]

Sir, The code in that page does not for all images... whta should i do so that the code works on all images For example to thess images http://upload.wikimedia.org/wikipedia/commons/8/8a/MRI_brain_tumor.jpg http://btstory.info/Comparison_MRI_Scans.jpg

Answer 1

[Image Analyst]

The code was not built with all images in mind - only one image was supplied so it might only work with images of that type. For your image it looks like you might just be able to find pure white pixels and set them to zero

grayImage(grayImage==255) = 0;

Of course it will need to be a little more robust since you will have to account for white pixels that might occur within the brain. So first you'll have to find the brain by thresholding, then fill it. Then mask that out so it's not touched when using the line above. Something like (untested)

brainPixels = grayImage > someThreshold;
%---------------------------------------------------------------------------
% Extract the largest area using our custom function ExtractNLargestBlobs().
biggestBlob = ExtractNLargestBlobs(brainPixels , 1);
biggestBlob  = imfill(biggestBlob, 'holes');
%---------------------------------------------------------------------------
letters = grayImage == 255;
% Mask out brain.
letters(biggestBlob) = false;
% Erase letters
grayImage(letters) = 0;

See attached demo for the ExtractNLargestBlobs() function. Come back with any difficulties, otherwise, eventually mark the Answer as accepted if it works.

[Prakash Sharma]

I used the above code ExtractBiggestBlob.m I got this result. But this not what I want. Sir,is there any other way?

[Image Analyst]

You forgot to attach your image so I could try something. Do that. What threshold did you use? Have you tried adjusting it?

[Prakash Sharma]

Sir,This is the image http://upload.wikimedia.org/wikipedia/commons/8/8a/MRI_brain_tumor.jpg

[Image Analyst]

That image has white gridlines around it, like it's a portion of a contact sheet. You should get rid of those, like use imcrop() to extract only the part of the image within the grid tile. There are several other ways to do it but the key is to start with a good image. If you have to make it "good" to start with, then that will add several steps.