Quality inspection of malay traditional food using image color processing / Mohamad Asrap Maslan

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2010Description: xii, 50 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:
  • THE0005959(Local)
Other title:
  • Quality inspection of malay traditional food using image color processing [computer file]
Subject(s): Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010 Abstract: With increased expectations for food products of high quality and safety standards, the need for accurate, fast and objective quality determination of these characteristics in food products continues to grow. This study reviews the recent advances in image color processing techniques to evaluate the quality of malay traditional food (kuih bahulu). In this case, a camera will record the color and appearance of some kuih bahulu in other to gathering data. The system will evaluate the data and detect yellow regions in an image via thresholding in HSV color space. The system will compared the mean of yellowish region with the desired value to get a precise statement on whether the kuih bahulu maybe classified as belonging to a specific quality class based on its color. Hence, we can detect and separate the defect product and can improve the consistency of product quality
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Item type Current library Call number Copy number Status Date due Barcode
Final Year Report Final Year Report UMPLIB PEKAN TA1637 .A87 2010 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000058488
Final Year Report Final Year Report UMPLIB PEKAN CD 5420 | TA1637 .A87 2010 rs Bc. (Browse shelf(Opens below)) 1 In Transit 0000058489

Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2010

Bibliography : p. 43-44

With increased expectations for food products of high quality and safety standards, the need for accurate, fast and objective quality determination of these characteristics in food products continues to grow. This study reviews the recent advances in image color processing techniques to evaluate the quality of malay traditional food (kuih bahulu). In this case, a camera will record the color and appearance of some kuih bahulu in other to gathering data. The system will evaluate the data and detect yellow regions in an image via thresholding in HSV color space. The system will compared the mean of yellowish region with the desired value to get a precise statement on whether the kuih bahulu maybe classified as belonging to a specific quality class based on its color. Hence, we can detect and separate the defect product and can improve the consistency of product quality

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