THE DEVELOPMENT OF A MACHINE VISION SYSTEM FOR SHIITAKE GRADING

A grading system was developed to classify shiitake automatically into various grades of quality in terms of size, shape and color. A shiitake is scanned with a color charge-coupled-device camera and then various geometrical and color characteristics are determined by image processing. The online grading procedure includes the following sequences in processing dried shiitake: (a) color abnormality is eliminated by image analysis; (b) broken caps are detected by calculation of the area-to-perimeter ratio; and (c) size is deter-mined by pixel counting from the bottom view. Image processing and algo-rithmic manipulations are done on a personal computer (PC) while grading is carried out by a programmable logic controller (PLC). The PLC accepts grading instructions from the PC, hence controls the grading mechanisms. Pilot system validation was done on 250 dried shiitake samples and resulted in a 97.6 % accuracy rate. This result is better than that by visual inspection. A complete grading cycle takes 4.8 s, of which the PC unit participates 0.3