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Introduction
- Detecting grapes via color recognition and
Grape Detection in Vineyards Final project by Yael Peretz & - - PowerPoint PPT Presentation
Grape Detection in Vineyards Final project by Yael Peretz & - - PowerPoint PPT Presentation
Grape Detection in Vineyards Final project by Yael Peretz & Amir Yeger Introduction Detecting grapes via color recognition and clustering. Goals Circle recognition unsuccessful Color filtering Clustering Noise
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Goals
- Circle recognition – unsuccessful
- Color filtering
- Clustering
Noise removal
- Noise removal
- Filling in non-desired filtered areas
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Implementations
Implementation #1:
- Color filtering
- Clustering
Result – better grape detection, poorer
- Result – better grape detection, poorer
background filtering!
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Implementations
- Implementation #1 – Color filtering
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Implementations
- Implementation #1 – Clustering
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Implementations
- Implementation #1 – Result
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Implementations
Implementation #2:
- Color filtering
- Result – better background filtering, poorer
grape detection! grape detection!
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Implementations
- Implementation #2 – Color Filtering
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Implementations
- Implementation #2 – Color Filtering
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Implementations
- Implementation #2 – Result
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Results - 1
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Results - 1
Implementation -1 Implementation -2
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Results - 2
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Results - 2
Implementation -1 Implementation -2
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Result - 3
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Result - 3
Implementation -1 Implementation -2
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Results – 4
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Result – 4
Implementation -1 Implementation -2
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Conclusions
- Color filtering – not the perfect solution
- Clustering – efficient, but with the use of good
color filtering Both algorithms achieved better results on
- Both algorithms achieved better results on
images whose grapes had a lighter color than images with darker grapes
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Questions?
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