Digital Photography - Science topic

Hi Husen Hutagalung, think there are protocols you can use for citing RG entries.

Do you want to move that position as time goes on to accommodate changing plant size, or one position for the season? Changing positions allows more accuracy at each size, especially if you have some known objects in the mix to standardize from... In our case, we are looking for pathogens, etc, so moving the cameras makes sense as we strive go image the areas we need to evaluate... this then requires a one size fits one system, which is a hassle to set up compared to a one size fits all...

My dear friend,

My new book has published. It is about design

as you are in this field i hope you will like it

Please read it and share it with everyone. It is talking about prosumer also for the first time in this book we talk about magic and its power in product design. It is talking also about future of consumers .I request you put the link of book on your page and your school website for your students.

Name: Everyone Is a Designer

Author: Mohsen Jaafarnia

Publisher: MJ

Ghochan, 2017

In Persian, Chinese and English

Topic: Industrial Design

Jaafarnia, Mohsen (2017). Everyone Is Designer. Ghochan, Iran : MJ Publication. ISBN: 978-600-04-7870-4

Dear Ebrahim,

It is important to tell what geomaterial do you intend for imaging.

For noise reductions, you can acquire images several times in the same condition of camera, and average their pixel values.

I suggest that take several images from each situation and intensity, and compare their corresponding results, and then set your system with that situation and intensity in which provide best results and go ahead for your next experiments.

Regards,

Dear Isaac,

Please check the attached publications. May it be some help for you.

Best,

Tharindu

Have you checked this article?

 https://www.researchgate.net/publication/271844057_Cleaning_and_Preparing_Adult_Beetles_Coleoptera_for_Light_and_Scanning_Electron_Microscopy

It is not specifically about that family, but I found it useful. 

I had a sort of manual that explained in detail how changes in surface tension affected cavitation in an ultrasonic bath, an lots of other things. I can't find it right now, but if you think it may be useful to you, let me know and I'll try to find it. 

Jim, a recent solution involves self-assembled nanostructures in fusez quartz: http://www.southampton.ac.uk/news/2016/02/5d-data-storage-update.page

My own view is that more obvious and less sophisticated coding should be considered, no doubt at the expense of such extreme storage capacity. Images could be stored as such, with 3 or 4 copies for colour, perhaps embedding a different metal for each primary colour; the colours of spectral lines could be used to indicate the colour coding.

Rafael,

  You certainly could produce a filter using the techniques you proposed.  For example, large tanks of water were utilized to filter IR light from incandescent lights when illuminating a delicate sample. 

  However, you haven't stated your application.  Intense light will degrade methylene blue, changing the filter's properties during use.  Polymer filters (sometimes called 'gels') are used in theatrical and photographic applications routinely (e.g., Roscolux).  Kodak Wratten filters provide more scientific grade versions.  

  Depending on your application, you may be able to use Wratten filters (or similar poly-films) or photographic filters.  These are substantially less expensive than those designed for scientific use, although the specifications tend to be less precise.  

  Keep in mind that you'll spend time and money reinventing the perfect filter, so purchasing it may be a more efficient overall strategy.

r/

David

Julio, I think photographic language is to enable the world to see the possibilities of manipulating aesthetic qualities in a photo to suit one's perceived idea about how things should appear. Hence, the mental imagery comes into play, probably with the primary purpose of capturing emotions, feelings, or moods that can help in defining the subject. In this way, techniques or processes of achieving such results are not more important than the actual outcome which fulfills the essence of the theme.   

If you have a stereo pair, I'd say that you have aerial photos, not ortophotos. Ortophotos are created by correcting the terrain distortions on aerial photos. 

Creating a DEM from aerial photos is not as simple as we wish. First, remember that only the area where the photos overlap can be reconstructed.

Commercial software like PCI Geomatics or ENVI offer that functionality. Agisoft Photoscan is made for Structure-from-Motion, not tradicional photogrammetry, but is very good and not expensive. There is a software called OpenSfM that is open-source and Free, but I never tested it (it's Windows-only and I run OS X). 

The e-foto project is about an open-source photogrammetric station for Windows and Linux. This might be a good starting point for you.

Photoscan: http://www.agisoft.com

OpenSfM: https://github.com/mapillary/OpenSfM

e-foto: http://sourceforge.net/projects/e-foto/

Perhaps this literature is useful for you:

Erik Reinhard: High Dynamic Range Imaging, p. 117–159. Morgan Kaufman, San Francisco 2006, ISBN 0-12-585263-0

Best regards

Rudolf Ritt

Yes, since you use the term 'aesthetic', photographic documentation is obviously of benefit. In the example you provide a 'before and after', side-by-side comparison in which the relative differences are made more apparent by the consistency of lighting and angle of view. I am not in your field of medicine, but aesthetics and 'pleasing the eye' are important in my work of the last forty years, making photographic reproductions of artworks, both on film and with digital imaging. The advent of the latter has certainly brought advances. 

However, I note that in your example, no calibration appears (it may have been cropped). Archaeologists use measurement scales in every photograph.  I use a greyscale, process colour patches, and more recently Macbeth colour chart and correction software to ensure the colour of the original is reproduced accurately. Even digital imaging cannot reproduce all colours as the eye sees it. 

Furthermore, the example you include appears to be shot under broad fluorescent lighting. There may be textural skin defects that do not show up in this lighting, but which would be very apparent under more contrasty, oblique point-source light (e.g. off-camera flash), or under lighting of a different hue or colour-balance (for example the blue light that public transport providers use to frustrate attempts to intravenously inject illicit drugs on their vehicles). Accordingly, daylight reveals quite different aspects of a subject's colour than does tungsten or LED lighting. 

I recommend deploying colour and measurement calibration, and of different qualities of light source direction, intensity, focus and hue, during your documentation sessions if you are not already doing so. It will still be cheap, even if it requires fractionally more time, and will provide further evidence of the effectiveness of your treatments.

I have once seen a video review of this camera and really its awesome. Here is the link to it  https://www.youtube.com/watch?v=OfScn-YlQ0U

Really the possibilities are numerous with this camera. However, for the applications that you are suggesting one needs a proper tethering mechanism to conventional programming systems for image processing.

The standard is the buget method. You can find the OpenCV implementation previously commented and a matlab toolkit:

Also, now matlab offers a very nice camera calibration toolbox:

Did you try this paper: http://www.metla.fi/silvafennica/full/smf/smf004.pdf?,  it is an old one but has a extensive compilation of allometric equations for tree species.

Another link to more recent research...

The important feature of the logarithmic pixel is the non-linear response and very wide dynamic range using the property of non-linearity. On the other hand, the advantage of the LOFIC when compared with other techniques for wide dynamic range is the linear response and small motion artifact, but range is limited to maximally 100dB.  Since camera system often requires linear response and less distortion in moving image, the LOFIC is an excellent tequnique anyway.  The LOFIC and log-pixel are the technology of quite different category each other. I don't think the use of LOFIC in the logarithmic pixel helps for the impromement of wide  dynamic range imagers. The most difficult problem for the logarithmic pixel is an image lag.  Another merit of LOFIC pixel is low noise and no image lag because of the use of pinned photodiode and true CDS readout.  But, if you insist to use logarithmic pixel and improve the problem of image lag, there is a technique of linear-log response pixel using pinned photodiodes (presented at ISSCC 2005).  This pixel, however, has a problem of fixed-pattern noise which is created at the gray scale level of transition from linear to log.   Things are not easy, but therefore, we can survive in the field of R & D of image sensors Thank you for reading.

If you research the CRYPTIC coloration, please don't forget that it exists not against humans but against other predators (e.g. birds and carnivore mammals) which colour vision may be very different (e.g. dichromatic or tetrachromatic). I think, the standard digital photography is a bad solution in this case. 

Mary Stoddard presented at this year's AOU/COS/SCO meetings in CO as one of the "early professional award" winners - this is copied from the program book:

With colleagues, she has developed new methods for quantifying pattern and color

mimicry, including a novel pattern recognition tool, NATURE-PATTERNMATCH, to determine how host birds recognize their own distinctive egg patterns. At Harvard University, Dr. Stoddard is currently pursuing interdisciplinary work on the genomic and structural basis of eggshell evolution.

(2nd image)

Hi Francesco.

I just now saw your question when all the acorns and chestnuts have already been fired away for this year. I guess that's the easiest way is to set up a pad with known area that contrasts with the color of acorns before seeds falling. The number of acorn on the pad can be used to calculate the seeds production per area unit (ha). Maybe the SHAPE program can be used to automatize the counting of acorns. Recognition of acorns on the digital image of natural ground is difficult.