Relationship between chlorophyll and RGB

I am trying to convert rgb images (leaves) to show the chlorophyll content in them. Are there any resources that have tried this/ done this before?

[Iulian Tunsu]

Hey! Nice question up there! Currently working to the same task! Any clues till now?

Answer 1

[Star Strider]

Fortunately, you’re not the first person to be interested in this problem. A free resource is ‘Measuring Leaf Chlorophyll Concentration from Its Color: A Way in Monitoring Environment Change to Plantations’ that looks to be easily programmable in MATLAB. One that looks a bit more rigorous ‘Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean’ costs US$37.95, but you may be able to get it for free through your university library. There are others. I pulled up some here, and there might be more resources in a more dedicated database. (I have no expertise in this area, so I just looked for the fun of it. It does interest me, because it might be useful in monitoring drought stress in yard plants.)

Answer 2

[Image Analyst]

Depends on how accurate you want to be. If you want super good accuracy, I wouldn't trust any method using RGB imaging, even if they take differences or convert to LAB color space. The few papers I looked at didn't even use a color standard or do any rgb-to-lab calibration or consider metamerism, and were valid only for one type of plant. I'd use a hyperspectral imaging system and multivariate curve resolution, with a calibration chart like an x-rite color checker chart. Otherwise it seems like you're just simply measuring how green is in the image. If you simply want to measure the relative amounts of green in plants of the same species, from images taken with the same illumination level and color temperature, then go ahead if that's good enough for you.

[Iulian Tunsu]

First you need to calibrate some sort of maxim-min level of chlorophyll based on real plant scanning. Then translate the information by calibrating groups of pixels and pictures.