Color recognition algorithm using a neural network model in determining the ripeness of a Banana

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Bibliographic Details
Main Authors: Paulraj, Murugesapandian, Hema, Chengalvarayan Radhakrishnamurthy, R. Pranesh, Krishnan, Siti Sofiah, Mohd Radzi
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
RGB
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7305
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-73052010-01-15T15:16:31Z Color recognition algorithm using a neural network model in determining the ripeness of a Banana Paulraj, Murugesapandian Hema, Chengalvarayan Radhakrishnamurthy R. Pranesh, Krishnan Siti Sofiah, Mohd Radzi paul@unimap.edu.my Color recognition Neural network RGB Histogram Ripeness of Banana Neural networks (Computer science) Image processing Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. This paper presents a simple color recognition algorithm using a Neural Network model and applied to determine the ripeness of a banana. The captured image of the banana is resized and its RGB color components are extracted. The color components of the resized images are rescaled using a simple heuristic method. Further, a histogram for the rescaled image is obtained and used as a feature vector to identify the ripeness of the banana. A simple graphical user interface system is developed in MATLAB that classifies the ripeness of the banana. The proposed model has an accuracy of 96%. 2009-11-17T03:35:42Z 2009-11-17T03:35:42Z 2009-10-11 Working Paper p.2B7 1 - 2B7 4 http://hdl.handle.net/123456789/7305 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Color recognition
Neural network
RGB
Histogram
Ripeness of Banana
Neural networks (Computer science)
Image processing
spellingShingle Color recognition
Neural network
RGB
Histogram
Ripeness of Banana
Neural networks (Computer science)
Image processing
Paulraj, Murugesapandian
Hema, Chengalvarayan Radhakrishnamurthy
R. Pranesh, Krishnan
Siti Sofiah, Mohd Radzi
Color recognition algorithm using a neural network model in determining the ripeness of a Banana
description Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Paulraj, Murugesapandian
Hema, Chengalvarayan Radhakrishnamurthy
R. Pranesh, Krishnan
Siti Sofiah, Mohd Radzi
format Working Paper
author Paulraj, Murugesapandian
Hema, Chengalvarayan Radhakrishnamurthy
R. Pranesh, Krishnan
Siti Sofiah, Mohd Radzi
author_sort Paulraj, Murugesapandian
title Color recognition algorithm using a neural network model in determining the ripeness of a Banana
title_short Color recognition algorithm using a neural network model in determining the ripeness of a Banana
title_full Color recognition algorithm using a neural network model in determining the ripeness of a Banana
title_fullStr Color recognition algorithm using a neural network model in determining the ripeness of a Banana
title_full_unstemmed Color recognition algorithm using a neural network model in determining the ripeness of a Banana
title_sort color recognition algorithm using a neural network model in determining the ripeness of a banana
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7305
_version_ 1643788754229395456