1 February 1991 Fresh market carrot inspection by machine vision
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Proceedings Volume 1379, Optics in Agriculture; (1991); doi: 10.1117/12.25084
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
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KEYWORDS
Inspection

Agriculture

Machine vision

Calibration

Image processing

Feature extraction

Digital signal processing

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