Measuring the size of strawberries using binocular photos

Bachelor thesis (2022)

Authors

K.P. van Melis Electrical Engineering, Mathematics and Computer Science

Contributors

T.E.P.M.F. Abeel Pattern Recognition and Bioinformatics - EEMCS (supervisor 1)
J. Wen Algorithmics - EEMCS (supervisor 1)
A. Nadeem Cyber Security - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Kris van Melis
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Published Date

21-06-2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

To reduce food waste, it is important to know what strawberries to prioritise for harvesting. Size is an important quality attribute for strawberry. In order to know the size, the depth of the strawberry in the image must been known. To estimate the depth, stereovision gets utilized using binocular images. Since classic stereovision methods are quite inaccurate in predicting small areas in images, a technique by [Mustafah et al., 2013] is used. Using given segments of the strawberries, the left and right strawberry images will get matched. With the matched strawberries, the disparity can be calculated and thus the depth. Using the depth, the size can be estimated.