Edge detection

[Happy]

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[Johannes Koch]

Hi,

I suggest to keep it simple. Select that region and either smooth it
repeatedly or blur it with a higher sigma value. If the patient ID is
always at the same spot, you can even automize it.

Regards,
Johannes


*Dr. Johannes Koch*

*Tissue Med Biosciences GmbH*

Magnesitstrasse1 | A-3500 Krems

T: +43/2732/87470-300 | M: [hidden email]
<mailto:[hidden email]>

*www.tmbiosciences.com <http://www.tmbiosciences.com/>*

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Am 13.02.2014 08:32, schrieb Happy:

> Hi i want to remove unwanted images such as words(white 255) from my image,
> but i do not want my main image to be affected. For example, loss of white
> patches of my main images.
>
> lets say there is a tumour in the middle, i want to get rid of the patient
> ID.
>
> Please help. Thank You.
>
>
>
> --
> View this message in context: http://imagej.1557.x6.nabble.com/Edge-detection-tp5006509.html
> Sent from the ImageJ mailing list archive at Nabble.com.
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[Happy]

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[Kenneth Sloan]

I wouldn’t bother blurring - I would just black out a rectangle covering the offending text.  That makes it clearer what has been done to the image.  
--
Kenneth Sloan
[hidden email]


On Feb 13, 2014, at 01:55 , Johannes Koch <[hidden email]> wrote:

> Hi,
>
> I suggest to keep it simple. Select that region and either smooth it repeatedly or blur it with a higher sigma value. If the patient ID is always at the same spot, you can even automize it.
>
> Regards,
> Johannes
>
>
> *Dr. Johannes Koch*
>
> *Tissue Med Biosciences GmbH*
>
> Magnesitstrasse1 | A-3500 Krems
>
> T: +43/2732/87470-300 | M: [hidden email] <mailto:[hidden email]>
>
> *www.tmbiosciences.com <http://www.tmbiosciences.com/>*
>
> Diese E-Mail enthält vertrauliche und/oder rechtlich geschützte Information. Wenn Sie nicht der richtige Adressat sind oder diese E-Mail irrtümlich erhalten haben, informieren Sie bitte unverzüglich den Absender und vernichten Sie diese E-Mail sofort. Das unerlaubte Kopieren sowie die unbefugte Weitergabe dieser E-Mail sind nicht gestattet.
>
> This e-mail may contain confidential and/or privileged information. If you are not the intended recipient or have received this e-mail in error please notify the sender immediately and destroy this e-mail. Any unauthorized copying, disclosure or distribution of the material in this e-mail is strictly forbidden.
>
> Am 13.02.2014 08:32, schrieb Happy:
>> Hi i want to remove unwanted images such as words(white 255) from my image,
>> but i do not want my main image to be affected. For example, loss of white
>> patches of my main images.
>>
>> lets say there is a tumour in the middle, i want to get rid of the patient
>> ID.
>>
>> Please help. Thank You.
>>
>>
>>
>> --
>> View this message in context: http://imagej.1557.x6.nabble.com/Edge-detection-tp5006509.html
>> Sent from the ImageJ mailing list archive at Nabble.com.
>>
>> --
>> ImageJ mailing list: http://imagej.nih.gov/ij/list.html
>>
>
>
> --
> ImageJ mailing list: http://imagej.nih.gov/ij/list.html

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[Happy]

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[Jacqueline Ross]

Hi Happy,

Are the white words (pixel value 255) the only true white in the image?

For example, when we take images, we usually ensure that there is no white in the images, i.e. any other areas that appear to be white are actually lower values.

Also, are they colour images or greyscale? The reason for my question is that I do have a simple macro that we use to take out white borders and it might work for your text but ONLY if the text pixels are the only 255 value pixels in the image.

Kind regards,

Jacqui

Jacqueline Ross
Biomedical Imaging Microscopist
Biomedical Imaging Research Unit 
School of Medical Sciences 
Faculty of Medical & Health Sciences
The University of Auckland
Private Bag 92019
Auckland 1142, NEW ZEALAND

Tel: [phone]
Fax: [phone]

http://www.fmhs.auckland.ac.nz/sms/biru/


-----Original Message-----
From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of Happy
Sent: Thursday, 13 February 2014 8:33 p.m.
To: [hidden email]
Subject: Edge detection

Hi i want to remove unwanted images such as words(white 255) from my image, but i do not want my main image to be affected. For example, loss of white patches of my main images.

lets say there is a tumour in the middle, i want to get rid of the patient ID.

Please help. Thank You.



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Sent from the ImageJ mailing list archive at Nabble.com.

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