Starfruit Grading Based on 2-Dimensional Color Map
This paper present a grading technique on starfruit based on image processing. 2-dimensional color map is used in order to classify the starfruit into its ripe index. Referring to standard introduced by FAMA, there are six ripe indexes to code in. The color map is based on 8-bit RGB color space wher...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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School of Postgraduate Studies, UTM
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1691/ http://eprints.utm.my/1691/1/musa2006_Starfruit_grading.pdf |
| _version_ | 1848890189483606016 |
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| author | Mokji, M.M. Abu Bakar, Syed Abdul Rahman |
| author_facet | Mokji, M.M. Abu Bakar, Syed Abdul Rahman |
| author_sort | Mokji, M.M. |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | This paper present a grading technique on starfruit based on image processing. 2-dimensional color map is used in order to classify the starfruit into its ripe index. Referring to standard introduced by FAMA, there are six ripe indexes to code in. The color map is based on 8-bit RGB color space where blue component is discarded to simplify the computation process. This paper also shows that calculating the average chromaticity for the 2-dimensional color map (RG map) can determine the most
concentrated color in each of the ripe index. The chromaticity value is then used to segment the starfruit image to reduce the amount of the color. From the segmented image,the starfruit is classified into its ripe index. |
| first_indexed | 2025-11-15T20:38:07Z |
| format | Article |
| id | utm-1691 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:38:07Z |
| publishDate | 2006 |
| publisher | School of Postgraduate Studies, UTM |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-16912010-06-01T02:57:20Z http://eprints.utm.my/1691/ Starfruit Grading Based on 2-Dimensional Color Map Mokji, M.M. Abu Bakar, Syed Abdul Rahman TK Electrical engineering. Electronics Nuclear engineering This paper present a grading technique on starfruit based on image processing. 2-dimensional color map is used in order to classify the starfruit into its ripe index. Referring to standard introduced by FAMA, there are six ripe indexes to code in. The color map is based on 8-bit RGB color space where blue component is discarded to simplify the computation process. This paper also shows that calculating the average chromaticity for the 2-dimensional color map (RG map) can determine the most concentrated color in each of the ripe index. The chromaticity value is then used to segment the starfruit image to reduce the amount of the color. From the segmented image,the starfruit is classified into its ripe index. School of Postgraduate Studies, UTM 2006-07-26 Article NonPeerReviewed application/pdf en http://eprints.utm.my/1691/1/musa2006_Starfruit_grading.pdf Mokji, M.M. and Abu Bakar, Syed Abdul Rahman (2006) Starfruit Grading Based on 2-Dimensional Color Map. Regional Postgraduate Conference on Engineering and Science . pp. 203-206. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mokji, M.M. Abu Bakar, Syed Abdul Rahman Starfruit Grading Based on 2-Dimensional Color Map |
| title | Starfruit Grading Based on 2-Dimensional Color Map |
| title_full | Starfruit Grading Based on 2-Dimensional Color Map |
| title_fullStr | Starfruit Grading Based on 2-Dimensional Color Map |
| title_full_unstemmed | Starfruit Grading Based on 2-Dimensional Color Map |
| title_short | Starfruit Grading Based on 2-Dimensional Color Map |
| title_sort | starfruit grading based on 2-dimensional color map |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/1691/ http://eprints.utm.my/1691/1/musa2006_Starfruit_grading.pdf |