A machine vision system was developed to inspect fresh market carrots. It was designed to grade carrots with an axial and transverse resolution of 0. 5mmper pixel. Hardware consisted of camera digital signal processing (DSP) imaging board host computer and illumination components. Feature extraction methods detect the major defects. A Bayes classification technique was used to construct the decision function which classify carrots as acceptable or cull. The system was able to image and classify in approximately 2. 5carrots/second. 1.
M. Scott Howarth,
Stephen W. Searcy,
"Fresh market carrot inspection by machine vision", Proc. SPIE 1379, Optics in Agriculture, (1 February 1991); doi: 10.1117/12.25084; https://doi.org/10.1117/12.25084