- #1
fluidistic
Gold Member
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- 262
Hi people,
I would like to create a sophisticated program that takes care of a bonsai. For simplicity let's assume that the bonsai is put into a cubic box with white walls, a digital camera able to produce .raw files and is under a compact fluorescent lamp.
I want to define what I'd call the "perfect range" of green value for the leaves, say from 540 to 570 nm wavelength so that if a leaf is outside this range, the program would cut it with the help of a mechanical arm.
Now, under such an illumination, I expect to be able to determine how 550 nm wavelength light is represented into the .raw file from the digital camera. I would like a real world example but I can't seem to find any example of .raw file on the web and I don't have a digital camera that produces such file extension.
How hard would it be to extract such information (colors) from a .raw file? Do you have any idea about this crazy project?
Thanks.
P.S.:The program would do many other things like taking care of humidity, etc. but for now let's tackle the visual part.
I would like to create a sophisticated program that takes care of a bonsai. For simplicity let's assume that the bonsai is put into a cubic box with white walls, a digital camera able to produce .raw files and is under a compact fluorescent lamp.
I want to define what I'd call the "perfect range" of green value for the leaves, say from 540 to 570 nm wavelength so that if a leaf is outside this range, the program would cut it with the help of a mechanical arm.
Now, under such an illumination, I expect to be able to determine how 550 nm wavelength light is represented into the .raw file from the digital camera. I would like a real world example but I can't seem to find any example of .raw file on the web and I don't have a digital camera that produces such file extension.
How hard would it be to extract such information (colors) from a .raw file? Do you have any idea about this crazy project?
Thanks.
P.S.:The program would do many other things like taking care of humidity, etc. but for now let's tackle the visual part.