บทคัดย่องานวิจัย

หมวดหมู่ : ฐานข้อมูลงานวิจัย

Determining tissue damage using machine vision technology

Y. Luo

Proceedings of 26th International Horticultural Congress. Volume of Abstract . Toronto, Canada, 11-17 August, 2002. Abstract S09-O-122. pp. 254.

2002

บทคัดย่อ

Determining Tissue Damage Using Machine Vision Technology

Tissue damage of fruits and vegetables during fresh-cut product preparation is a major factor of quality deterioration and shelf life loss. Ceveloping a fast, accurate, and fresh-cut fruit and vegetable industries to optimize harvesting, postharvest handling, and fresh-cut processing operations. This presentation describes a method developed to quantitatively measure tissue damage using machine vision technology. Images of damaged and not damaged tissues were acquired through a degital camera or video camera. The damaged areas and intensity were analyzed using the Image-Pro software program based on color differences of the damaged and not damaged tissues. For the samples showing no color difference between substrates via an accelerated browning reaction, followed by image analysis. Various fruit and vegetables were tested and this method proved to be fast, accurate, and easy to use. A series of browning substrates were tested for their usefulness in this method, and the results will be presented.