A new and robust apple evaluation method using image processing

Mirzaei, H and Saraee, MH ORCID: https://orcid.org/0000-0002-3283-1912 2007, A new and robust apple evaluation method using image processing , in: First Joint Congress on Fuzzy and Intelligent Systems, 29-31 August 2007, Ferdowsi University of Mashhad, Iran.

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Abstract

Fruit evaluation is a necessary component of vegetable and fruit sorting system. Recently, machine vision applications for sorting and inspecting some fruit vegetables have been studied by many scientists. In this paper a new and robust computer vision based system for apple evaluation using image processing is presented to automatically grade apples. The process of segmentation of apples is performed by applying a threshold and a few morphological operations such as opening and closing. Next each apple gets a label using run-length algorithm. Now calculating the measure properties of the apple can be done easily. The next step is detecting the apple skin bruises and the defected areas of apple skin that can be done performing top hat operation on the image. By comparing the results of our approach with the standard apples we can clearly see that our approach will produce good results for sorting the apples.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title: Proceedings of the 1st Joint Congress on Fuzzy and Intelligent Systems
Publisher: University of Mashahd, Iran
Depositing User: Prof. Mo Saraee
Date Deposited: 20 Aug 2018 13:28
Last Modified: 05 Sep 2018 09:30
URI: http://usir.salford.ac.uk/id/eprint/48116

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