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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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/13374/1/10.Classification%20of%20key%20lime%20base%20on%20colour%20image%20processing.pdf |
| _version_ | 1825822970693550080 |
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| author | Rewathi, Karudan |
| author_facet | Rewathi, Karudan |
| author_sort | Rewathi, Karudan |
| collection | UMP |
| 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%. |
| first_indexed | 2024-03-06T12:04:28Z |
| format | Undergraduates Project Papers |
| id | UMPir13374 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:04:28Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | UMPir133742023-07-18T03:36:54Z 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 pdf en http://umpir.ump.edu.my/id/eprint/13374/1/10.Classification%20of%20key%20lime%20base%20on%20colour%20image%20processing.pdf Rewathi, Karudan (2014) Classification of key lime base on colour image processing. Faculty of Computer Systems and Software Engineering, Universiti Malaysia Pahang. |
| spellingShingle | QA76 Computer software T Technology (General) Rewathi, Karudan Classification of key lime base on colour image processing |
| title | 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_short | Classification of key lime base on colour image processing |
| title_sort | classification of key lime base on colour image processing |
| topic | QA76 Computer software T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/13374/1/10.Classification%20of%20key%20lime%20base%20on%20colour%20image%20processing.pdf |
| work_keys_str_mv | AT rewathikarudan classificationofkeylimebaseoncolourimageprocessing |