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A rule-based segmentation method for fruit images under natural illumination

Image segmentation is a process that significantly important for machine vision system such as automatic fruit grading system.This process separates an image into several areas to extract the interest object from its background.However, the segmentation task is difficult for isolating the images tha...

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Main Authors: Hambali, Hamirul ’Aini, Jamil, Nursuriati, Syed Abdullah, Sharifah Lailee, Harun, Hazaruddin
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/20638/1/ICCCIA%202014%2013%2018.pdf
http://repo.uum.edu.my/20638/
http://doi.org/10.1109/IC3INA.2014.7042593
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spelling my.uum.repo.206382017-01-18T03:11:23Z http://repo.uum.edu.my/20638/ A rule-based segmentation method for fruit images under natural illumination Hambali, Hamirul ’Aini Jamil, Nursuriati Syed Abdullah, Sharifah Lailee Harun, Hazaruddin QA75 Electronic computers. Computer science Image segmentation is a process that significantly important for machine vision system such as automatic fruit grading system.This process separates an image into several areas to extract the interest object from its background.However, the segmentation task is difficult for isolating the images that captured in outdoor environment. This is due to the existence of non-uniform illumination on the object surface.Technically, different illuminations lead to different intensity on the object surface colour.This condition leads to low quality segmented images and therefore reduces the accuracy of object classification.Image segmentation can be accomplished using several methods such as Otsu, K-means and Fuzzy C-means.However, these three traditional methods have limitations in producing accurate segmented areas due to the existence of illumination on the object surface.Therefore, this paper developed a rule-based segmentation method that is able to segment natural images correctly and accurately.This method uses IF-THEN algorithm to segment the images of interest object. All four segmentation methods are implemented on fruit images and their performance are compared based on visual and quantitative evaluations.The analysis results showed that the new method is capable to produce segmented images with high accuracy rate. 2014-10-21 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/20638/1/ICCCIA%202014%2013%2018.pdf Hambali, Hamirul ’Aini and Jamil, Nursuriati and Syed Abdullah, Sharifah Lailee and Harun, Hazaruddin (2014) A rule-based segmentation method for fruit images under natural illumination. In: 2014 International Conference on Computer, Control, Informatics and Its Applications (IC3INA), 21-23 Oct. 2014, Bandung, Indonesia. http://doi.org/10.1109/IC3INA.2014.7042593 doi:10.1109/IC3INA.2014.7042593
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hambali, Hamirul ’Aini
Jamil, Nursuriati
Syed Abdullah, Sharifah Lailee
Harun, Hazaruddin
A rule-based segmentation method for fruit images under natural illumination
description Image segmentation is a process that significantly important for machine vision system such as automatic fruit grading system.This process separates an image into several areas to extract the interest object from its background.However, the segmentation task is difficult for isolating the images that captured in outdoor environment. This is due to the existence of non-uniform illumination on the object surface.Technically, different illuminations lead to different intensity on the object surface colour.This condition leads to low quality segmented images and therefore reduces the accuracy of object classification.Image segmentation can be accomplished using several methods such as Otsu, K-means and Fuzzy C-means.However, these three traditional methods have limitations in producing accurate segmented areas due to the existence of illumination on the object surface.Therefore, this paper developed a rule-based segmentation method that is able to segment natural images correctly and accurately.This method uses IF-THEN algorithm to segment the images of interest object. All four segmentation methods are implemented on fruit images and their performance are compared based on visual and quantitative evaluations.The analysis results showed that the new method is capable to produce segmented images with high accuracy rate.
format Conference or Workshop Item
author Hambali, Hamirul ’Aini
Jamil, Nursuriati
Syed Abdullah, Sharifah Lailee
Harun, Hazaruddin
author_facet Hambali, Hamirul ’Aini
Jamil, Nursuriati
Syed Abdullah, Sharifah Lailee
Harun, Hazaruddin
author_sort Hambali, Hamirul ’Aini
title A rule-based segmentation method for fruit images under natural illumination
title_short A rule-based segmentation method for fruit images under natural illumination
title_full A rule-based segmentation method for fruit images under natural illumination
title_fullStr A rule-based segmentation method for fruit images under natural illumination
title_full_unstemmed A rule-based segmentation method for fruit images under natural illumination
title_sort rule-based segmentation method for fruit images under natural illumination
publishDate 2014
url http://repo.uum.edu.my/20638/1/ICCCIA%202014%2013%2018.pdf
http://repo.uum.edu.my/20638/
http://doi.org/10.1109/IC3INA.2014.7042593
_version_ 1644283012604493824
score 13.211869

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