Classification of key lime base on colour image processing

Clarification of Key Lime base on color Image Processing is newly proposed system in the Malaysian agriculture field. Therefore, this system carried out to develop a prototype judging the Key Lime grade, maturity and to estimate the storage lifespan of Key Lime by color. The main issue that inspired...

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Main Author:	Rewathi, Karudan
Format:	Undergraduates Project Papers
Language:	English
Published:	2014
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/13374/ http://umpir.ump.edu.my/id/eprint/13374/ http://umpir.ump.edu.my/id/eprint/13374/1/FSKKP%20-%20REWATHI%20DO%20KARUDAN.PDF

id	ump-13374
recordtype	eprints
spelling	ump-133742016-06-16T04:20:13Z http://umpir.ump.edu.my/id/eprint/13374/ Classification of key lime base on colour image processing Rewathi, Karudan QA76 Computer software T Technology (General) Clarification of Key Lime base on color Image Processing is newly proposed system in the Malaysian agriculture field. Therefore, this system carried out to develop a prototype judging the Key Lime grade, maturity and to estimate the storage lifespan of Key Lime by color. The main issue that inspired to develop this system is the manual practice of Key Lime color grading consuming man power and time.At the same time the judgment of Key Lime color grading by human eyes often leads to error due to visual stress, and tiredness and is therefore not accurate. Other than that the human vision has limited ability in differentiating similar colors such as blue and violet. The issue is a human perception towards colors is subjective and varies among different people. Fifty five sample data of Key Limes were set in experiment to estimate the expiry date of key lime. During the system execution, image acquisition phase the image of the Key Lime should be in RGB color image. The grading systems computerized and web camera are used to capture the Key Lime image. The background (noise) of the image is removed by median filtering. A percentage of mean of green value was extract from RGB image for color information and sum of threshold image was collected. Then values are then being used as information for determining the grade and estimate expiry date of Key Lime. As conclusion the system was tested using 55 sample Key Limes. The final result of testing showed that 90% pass for grade A, 25 % pass for grade B, 71.43 % pass for grade C, 93.75% pass for grade D and overall passing percentage is 80.39%. 2014-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13374/1/FSKKP%20-%20REWATHI%20DO%20KARUDAN.PDF Rewathi, Karudan (2014) Classification of key lime base on colour image processing. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:92049&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software T Technology (General)
spellingShingle	QA76 Computer software T Technology (General) Rewathi, Karudan Classification of key lime base on colour image processing
description	Clarification of Key Lime base on color Image Processing is newly proposed system in the Malaysian agriculture field. Therefore, this system carried out to develop a prototype judging the Key Lime grade, maturity and to estimate the storage lifespan of Key Lime by color. The main issue that inspired to develop this system is the manual practice of Key Lime color grading consuming man power and time.At the same time the judgment of Key Lime color grading by human eyes often leads to error due to visual stress, and tiredness and is therefore not accurate. Other than that the human vision has limited ability in differentiating similar colors such as blue and violet. The issue is a human perception towards colors is subjective and varies among different people. Fifty five sample data of Key Limes were set in experiment to estimate the expiry date of key lime. During the system execution, image acquisition phase the image of the Key Lime should be in RGB color image. The grading systems computerized and web camera are used to capture the Key Lime image. The background (noise) of the image is removed by median filtering. A percentage of mean of green value was extract from RGB image for color information and sum of threshold image was collected. Then values are then being used as information for determining the grade and estimate expiry date of Key Lime. As conclusion the system was tested using 55 sample Key Limes. The final result of testing showed that 90% pass for grade A, 25 % pass for grade B, 71.43 % pass for grade C, 93.75% pass for grade D and overall passing percentage is 80.39%.
format	Undergraduates Project Papers
author	Rewathi, Karudan
author_facet	Rewathi, Karudan
author_sort	Rewathi, Karudan
title	Classification of key lime base on colour image processing
title_short	Classification of key lime base on colour image processing
title_full	Classification of key lime base on colour image processing
title_fullStr	Classification of key lime base on colour image processing
title_full_unstemmed	Classification of key lime base on colour image processing
title_sort	classification of key lime base on colour image processing
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/13374/ http://umpir.ump.edu.my/id/eprint/13374/ http://umpir.ump.edu.my/id/eprint/13374/1/FSKKP%20-%20REWATHI%20DO%20KARUDAN.PDF
first_indexed	2023-09-18T22:15:56Z
last_indexed	2023-09-18T22:15:56Z
_version_	1777415337121153024

Classification of key lime base on colour image processing

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