Measuring the size of strawberries using binocular photos

Bachelor Thesis (2022)
Author(s)

K.P. van Melis (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

T.E.P.M.F. Abeel – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

J. Wen – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)

A. Nadeem – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Faculty
Electrical Engineering, Mathematics and Computer Science
More Info
expand_more
Publication Year
2022
Language
English
Graduation Date
21-06-2022
Awarding Institution
Delft University of Technology
Project
CSE3000 Research Project
Programme
Computer Science and Engineering
Faculty
Electrical Engineering, Mathematics and Computer Science
Downloads counter
268
Collections
thesis
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

License info not available