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dc.contributor.authorChatchai Suppitaksakul
dc.descriptionACA2013Thanyaburi: Blooming Color for Life December 11-14, 2013en_US
dc.description.abstractThis paper proposes a pineapple ripeness classification in the manufacturing process based on color shading. The pineapple image that is captured in RGB format then converts to HSI format and it is manually segmented. The segmented image is passed to the feature extraction in order to classify the color shade of the pineapple. Mean intensity saturation component of the pineapple color, which is a part of HSI system, is considered as a classifier the pineapple ripeness level. The proposed method then performed testing on the pineapple samples and it can separate the ripeness into 3 levels. Finally, performing the test with pineapple slices and it is found that proposed method can separate the ripeness level of pineapple as same as human does in some degree.en_US
dc.publisherRajamangala University of Technology Thanyaburi Faculty of Mass Communication Technologyen_US
dc.subjectpineapple ripenessen_US
dc.subjectcolor shadingen_US
dc.titleUsing color shading for pineapple ripeness classificationen_US
Appears in Collections:ประชุมวิชาการ (Proceedings - MCT)

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