Nor Hafiza, Mohamad (2009) Tomato Inspection And Grading System. Project Report. UTeM, Melaka,Malaysia. (Submitted)
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Abstract
This paper work explains a technique for automatically detecting tomatoes skin surfaces in digital color images. The system relies on a two step process which first detects regions which are likely to contain tomatoes skin in the color images and then extracts information from these regions which might indicate the location of a tomato in the image. An inspection and grading system for tomato has been loaded image and after that the image through the brightness process. After the image from webcam already loaded into the system then the system will process the both images (captured and input) by reading the color in each of pixel images. The processes of the images in this system it needed to display the percentages value of color in order to classify of the tomato grade. Matlab and its image processing toolbox have been used in images processing and analysis.
| Item Type: | Final Year Project (Project Report) |
|---|---|
| Uncontrolled Keywords: | System design , Management information systems , Food adulteration and inspection , Tomatoes |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Library > Final Year Project > FKEKK |
| Depositing User: | Mohd Syahrizal Mohd Razali |
| Date Deposited: | 10 May 2012 09:43 |
| Last Modified: | 28 May 2015 02:33 |
| URI: | http://digitalcollection.utem.edu.my/id/eprint/3076 |
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