Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen...
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Transcript of Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen...
![Page 1: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/1.jpg)
Using computer vision for analysis of plant growth condition:
what to consider? Hans Jørgen Andersen Computer Vision and
Media Technology laboratoryAalborg University
![Page 2: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/2.jpg)
Background
►Lower prices of cameras opens new possibilities for sensor development
►Cameras – Computer Vision – used in industry normally takes place in a controlled environment
►Within agriculture this is often not feasible
![Page 3: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/3.jpg)
Problem
►If the surrounding environment for image acquisition cannot be controlled
Then the computer vision system has to adjust to the environment
![Page 4: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/4.jpg)
Outdoor Images of Wheat Plants
Sunshine, unclouded. Sunshine, clouded.
Skylight, clouded. Skylight.
![Page 5: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/5.jpg)
If Spectra of Light Source Changes
Spectra of Reflected Light Changes
Spectral Variation of the Illumination
![Page 6: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/6.jpg)
Light Sources
►Outdoor Condition poses the problem ofTwo Illumination sources The Sun and The Sky
Sunlit Sky light
How can you analysisthe green color ofthe vegetation ?
![Page 7: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/7.jpg)
Characteristic of Reflections
►Sunlit condition may pose two reflection components: Highlight, i.e. the color of the sun / light source Body, i.e. the color of the plant / object
Plastic cup
With Highlight Pure Body reflection
![Page 8: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/8.jpg)
Outdoor Image Formation
Light Sources
ObjectPlant
Transmittance
Absorption
Reflectance
ObserverCamera
Ambient
Point Uniform
![Page 9: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/9.jpg)
Modeling of Daylight
BlackBody
T, Kelvin
Black Body spectra
Daylight may be modelled as a Black BodyCorrelated Colour Temperature, CCT
Daylight model spectra
![Page 10: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/10.jpg)
Segmentation
![Page 11: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/11.jpg)
Classifying Reflections
►Reflections from Coffee classified intoBody and Highlight Components
ProbabilityofBody Reflection
![Page 12: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/12.jpg)
Use within Gap Fraction Estimation
Original Image Classifying each pixel asSoil (”gap”) = 0, Plant = 1
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Multi - Spectral Images
►470-720 nm, 26 bands
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Modeling Spectra
►Endmember Spectra Known (measured)
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Classifying Reflections
►First-order body scatteringVegetation Soil
![Page 16: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/16.jpg)
Classifying Reflections (2)Specular reflection Vegetation - Vegetation
Vegetation - Soil Soil - Soil
![Page 17: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/17.jpg)
Conclusion
►Modeling the Image Formation Process: Is valuable for
• Robust segmentation• Analysis of vegetation growth status• Assessment of various reflection components
![Page 18: Using computer vision for analysis of plant growth condition: what to consider? Hans Jørgen Andersen Computer Vision and Media Technology laboratory Aalborg.](https://reader035.fdocuments.in/reader035/viewer/2022062503/5a4d1b047f8b9ab05998800b/html5/thumbnails/18.jpg)
Perspectives
►Modeling of vegetation