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 removal Filling in non-desired filtered areas

Implementations Implementation #1: Color filtering Clustering Result – better grape detection, poorer background filtering!

Implementations Implementation #1 – Color filtering

Implementations Implementation #1 – Clustering

Implementations Implementation #1 – Result

Implementations Implementation #2: Color filtering Result – better background filtering, poorer grape detection!

Implementations Implementation #2 – Color Filtering

Implementations Implementation #2 – Color Filtering

Implementations Implementation #2 – Result

Results - 1

Results - 1 Implementation -1 Implementation -2

Results - 2

Results - 2 Implementation -1 Implementation -2

Result - 3

Result - 3 Implementation -1 Implementation -2

Results – 4

Result – 4 Implementation -1 Implementation -2

Conclusions Color filtering – not the perfect solution Clustering – efficient, but with the use of good color filtering Both algorithms achieved better results on images whose grapes had a lighter color than images with darker grapes

Questions?

No…? ok, thank you