COLOR AND LIGHTING INDEPENDENT PLASTIC CONTAMINATION DETECTION VIA ADAPTIVE IMAGE PROCESSING

The global objective of the proposed research is to assess the best method for detecting plastic contamination at the gin-stand feeder apron and in the field. The specific objectives is to develop adaptive translation tracking algorithms that are immune to variations in ambient lighting and able to detect colored plastics that have the same colors as cotton constituents; such as white plastic against a background of white cotton.