A new and robust apple evaluation method using image processing

Mirzaei, H; Saraee, MH

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.

Citation

Mirzaei, H., & Saraee, M. (2007, August). A new and robust apple evaluation method using image processing. Presented at First Joint Congress on Fuzzy and Intelligent Systems, Ferdowsi University of Mashhad, Iran

• Presentation Conference Type: Other
• Conference Name: First Joint Congress on Fuzzy and Intelligent Systems
• Conference Location: Ferdowsi University of Mashhad, Iran
• Start Date: Aug 29, 2007
• End Date: Aug 31, 2007
• Publication Date: Aug 31, 2007
• Deposit Date: Aug 20, 2018
• Publisher URL: http://confnews.um.ac.ir/images/41/conferences/isfs2007/article/i465.pdf
• Additional Information: Event Type : Conference