A Comparative Study to find an Effective Image Segmentation Technique using Clustering to obtain the Defective Portion of an Apple

Mhapne, Namrata Varad and Harish, S V and Kini, Anita S and Narendra, V G (2019) A Comparative Study to find an Effective Image Segmentation Technique using Clustering to obtain the Defective Portion of an Apple. In: International Conference on Automation, Computational and Technology Management ICACTM 2019, 24/04/2019, Amity University,London.

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Abstract

This paper aims at quality evaluation of the apple fruit to identify the surface defects based on the application of image processing and the computer vision systems. The external appearance of a fruit is one of the most important quality features and the manual assessment of the same by the human inspectors is costly, highly variable and inconsistent. Hence to meet the ever-increasing demand for the uniform and high-quality fruits, an automated visual inspection technique using computer vision and image processing will undoubtedly be the preferred method. A crucially significant process for the automated fruit grading system is image segmentation. A comparative end result of the segmentation techniques based on the concept of clustering to find the defective portion of the apple fruit is presented. The motivation behind the proposed method is to improve the time complexity and accuracy of the clustering technique with the use of preprocessing.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: quality evaluation of apple, defect detection, image segmentation, clustering
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 13 Sep 2019 09:06
Last Modified: 13 Sep 2019 09:06
URI: http://eprints.manipal.edu/id/eprint/154511

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