29 November 1993 Machine vision techniques for rose grading
Author Affiliations +
Proceedings Volume 2063, Vision, Sensors, and Control for Automated Manufacturing Systems; (1993) https://doi.org/10.1117/12.164970
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
A machine vision system was developed to inspect roses, and assign grades similar to those used by human graders. Illumination and image processing techniques were developed to extract the main features used by human vision. These features were identified as stem length, diameter and straightness, and bud color and maturity (i.e., openness). Illumination techniques include the design of an inspection chamber and the choice of proper light source. Image analysis includes the development of algorithms for image understanding. Supervised learning was used to classify roses.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vincent Steinmetz, Vincent Steinmetz, Michael Delwiche, Michael Delwiche, } "Machine vision techniques for rose grading", Proc. SPIE 2063, Vision, Sensors, and Control for Automated Manufacturing Systems, (29 November 1993); doi: 10.1117/12.164970; https://doi.org/10.1117/12.164970


Neural networks for sign language translation
Proceedings of SPIE (September 02 1993)
Vision system for finished fabric inspection
Proceedings of SPIE (March 08 2002)
Image compensation for camera and lighting variability
Proceedings of SPIE (December 18 1996)
Seed maize quality inspection with machine vision
Proceedings of SPIE (December 17 1993)

Back to Top