http://imagej.273.s1.nabble.com/32-Bit-Tiff-Single-Pixel-Noise-Removal-tp5011416p5011462.html
it would be the best if you mark a few pixels that you don't like in the log image. Otherwise, I have no idea what you consider bad pixels.
> Michael,
>
> Thank you for your suggestion. When I look at the data in log view it
> is exactly what I would expect. But the pixels that are distorting my view
> need to be highlighted and removed as instrument artifacts. Any ideas?
>
> Best,
>
> Francis
>
> On Tue, Feb 3, 2015 at 9:16 AM, Michael Schmid <
[hidden email]>
> wrote:
>
>> Hi Francis,
>>
>> it depends what you want to do with the images. If the pixel intensities
>> are not important (e.g. you only want to detect the position of the
>> elliptical areas) the easiest would be using the logarithm of the image
>> (Process>Math>Log).
>>
>> I don't think that the excessively high pixel values are noise.
>> Essentially all of the structure in the image seems to be made of streaky
>> features similar to the very bright 'noise'.
>>
>> Michael
>> ________________________________________________________________
>> On Feb 3, 2015, at 03:26, Francis OBrien wrote:
>>
>>> Hi,
>>>
>>> I need to remove single pixel noise from 1000's of 32-bit TIFF images. I
>> tried to use the outlier process but its not working as I have to manually
>> set the threshold. I think I need to automatically apply a known 95 or 99%
>> threshold to the minimum and maximum of the histogram data before I can
>> properly visualize the images.
>>>
>>> I am attaching an example of the type of image and its histogram. I hope
>> someone on the list could advise on a batch type macro that could solve
>> this problem.
>>>
>>> Best,
>>>
>>> Francis
>>
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http://imagej.nih.gov/ij/list.html>>
>
>
>
> --
> Regards,
>
> Francis
>
> Research graduate,
> New York School of Medicine
> New York
>
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