Wednesday, January 7, 2015: 8:00 AM
Salon D (Marriott Rivercenter Hotel)
Cotton extraneous matter (EM) calls are the only manual calls still regularly made by AMS classers. In order to develop a machine EM classing system, a better understanding of what triggers a classer EM call is needed. AMS classers were tasked in identifying EM (bark/grass) in and assigning EM calls to large-area, color images of cotton samples. Image analyses were also used to make shape and color measurements of the trash objects in the sample images. These measurements and classer bark/grass calls were compared and statistically analyzed to reveal correlations. The goals of this analysis were to develop criteria for identifying individual objects as bark/grass and to establish thresholds for assigning EM calls to cotton samples using machine measurements. This paper summarizes the findings of this work.