Lentil type identification using machine vision

Shahin, M.A. and Symons, S.J. 2003. Lentil type identification using machine vision. Canadian Biosystems Engineering/Le génie des biosystèmes au Canada 45: 3.5-3.11. A machine vision system (TrueGrade) was used to identify the type (variety) of Canadian lentils from bulk samples. The samples were presented to the instrument in a clear transparent sample tray, and the sample was imaged using a linear array device. The LentilScan software in TrueGrade separated touching kernels facilitating size measurement using mathematical morphology operations. These seed size measurements, when combined with colour attributes of the sample, segregated five lentil varieties commonly grown in Canada with an accuracy approaching 99%. The complete analysis process, from pouring the seed sample into the tray to receiving a result, took about 30 seconds, of which less than 1 second was for image processing and lentil type identification. The remainder of the time was consumed gathering user input and scanning the sample.