thanks for the tips! your answer will certainly help me a lot!

ishida


2013/3/13 Robert Baer <rbaer@atsu.edu>

> On 3/13/2013 12:05 AM, ishi soichi wrote:
>
>> I am not sure if I should ask this question in this list. But I'll try.
>>
>> Currently I am trying to analyze images using EBImage and biOps.
>> One of the features that I need to extract from various images is the
>> color
>> spectrum, namely, which colors each image consists of.
>>
>> So, each image hopefully can be converted into some sort of color
>> histogram
>> so that color ingredients are easily comparable with each other.
>>
>> There are so many functionalities that these packages and others provide,
>> and I am hoping that someone would give me some guideline for the
>> analysis.
>>
>> Any suggestion?
>>
> Your question is quite general, so I'll make a couple of general comments,
> returning us to R at the end.
>
> You need to read about spectral color systems, for example
> http://www.fourmilab.ch/**documents/specrend/<http://www.fourmilab.ch/documents/specrend/>.
> You undoubtedly have used filters, whether a Bayer filter typically built
> into a color camera or more specific filters if you have used a monochrome
> camera to collect non-RGB channels.  You need to know what type of
> transforms might have been performed during the storage process.  For
> example, has the image already been transformed to RGB space before
> storage? In fluorescent spectroscopy, for example, it is common to use
> pseudo-coloring so the channels of the stored image may not be directly
> convertible into spectral color without additional information.
>
> R can do all the appropriate matrix algebra once you define the specifics
> of your individual conversion.
>
> Hope this helps,
>
> Rob
>
>
>
>> Thanks.
>>
>> ishida
>>
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>>
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>
>
> --
>
> Robert W. Baer, Ph.D.
> Professor of Physiology
> Kirksille College of Osteopathic Medicine
> A. T. Still University of Health Sciences
> Kirksville, MO 63501 USA
>
>

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