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Histogram-Based Detection of Tomato Maturity: A Preliminary Study

Color is one of the most important features of images. Estimating the ripeness of fruits via color can be performed as it is the dominant feature in describing the information of image. However, each of color model has given different performance when used in experiment. This paper reports a prelimi...

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Main Authors: Fatma Susilawati, Mohamad, Nur Amalina, Baharoma, Azizah, Abdul Manaf
Format: Article
Language:English
Published: 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.unisza.edu.my/5857/1/FH02-FIK-19-23969.pdf
http://eprints.unisza.edu.my/5857/
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spelling my-unisza-ir.58572022-02-27T08:09:07Z http://eprints.unisza.edu.my/5857/ Histogram-Based Detection of Tomato Maturity: A Preliminary Study Fatma Susilawati, Mohamad Nur Amalina, Baharoma Azizah, Abdul Manaf QA75 Electronic computers. Computer science Color is one of the most important features of images. Estimating the ripeness of fruits via color can be performed as it is the dominant feature in describing the information of image. However, each of color model has given different performance when used in experiment. This paper reports a preliminary study to identify the ripeness of tomato by extracting the color features and compute into Histogram based method. Histogram proposes the number of color intensities in ROI (Region of Interest) or a whole image to give more possibilities result. Histogram based techniques merely count the number or frequency of pixels in an image. The output value of color model will be used as an input to the classifier in future works. Similarity measures such as Euclidean distance, City Block, Manhattan distance or Histogram Intersection will be explored to calculate the image similarity rating. 2018-12 Article PeerReviewed text en http://eprints.unisza.edu.my/5857/1/FH02-FIK-19-23969.pdf Fatma Susilawati, Mohamad and Nur Amalina, Baharoma and Azizah, Abdul Manaf (2018) Histogram-Based Detection of Tomato Maturity: A Preliminary Study. Malaysian Journal of Computing and Applied Mathematics, 1 (2). pp. 21-28. ISSN 2636-9400
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Fatma Susilawati, Mohamad
Nur Amalina, Baharoma
Azizah, Abdul Manaf
Histogram-Based Detection of Tomato Maturity: A Preliminary Study
description Color is one of the most important features of images. Estimating the ripeness of fruits via color can be performed as it is the dominant feature in describing the information of image. However, each of color model has given different performance when used in experiment. This paper reports a preliminary study to identify the ripeness of tomato by extracting the color features and compute into Histogram based method. Histogram proposes the number of color intensities in ROI (Region of Interest) or a whole image to give more possibilities result. Histogram based techniques merely count the number or frequency of pixels in an image. The output value of color model will be used as an input to the classifier in future works. Similarity measures such as Euclidean distance, City Block, Manhattan distance or Histogram Intersection will be explored to calculate the image similarity rating.
format Article
author Fatma Susilawati, Mohamad
Nur Amalina, Baharoma
Azizah, Abdul Manaf
author_facet Fatma Susilawati, Mohamad
Nur Amalina, Baharoma
Azizah, Abdul Manaf
author_sort Fatma Susilawati, Mohamad
title Histogram-Based Detection of Tomato Maturity: A Preliminary Study
title_short Histogram-Based Detection of Tomato Maturity: A Preliminary Study
title_full Histogram-Based Detection of Tomato Maturity: A Preliminary Study
title_fullStr Histogram-Based Detection of Tomato Maturity: A Preliminary Study
title_full_unstemmed Histogram-Based Detection of Tomato Maturity: A Preliminary Study
title_sort histogram-based detection of tomato maturity: a preliminary study
publishDate 2018
url http://eprints.unisza.edu.my/5857/1/FH02-FIK-19-23969.pdf
http://eprints.unisza.edu.my/5857/
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score 13.211869

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