On-Line Quality Assessment of Horticultural Products Using Machine Vision
Hetal N. Patel, Dr. R.K.Jain
Index Terms- Horticulture products, Intensity value, machine vision, pixels, region of interest (ROI).
Abstract- Online quality assessment of various horticultural products using machine vision provides not only quick but also objective, consistent and quantitative measurement. Horticultural products of different sizes and shapes (circular or elliptical) are classified based on the area occupied, which is calculated by known geometrical method. Another factor in the classification is the detection of defects. Based on the average pixel intensity value, the horticulture product is graded as defected or healthy. The images of different horticulture products are captured using digital camera in the same illumination condition and with same background. The images of different products like potatoes, apples, oranges, tomatoes, lemons are used for the implementation of the technique.
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