A Computer Vision System for Rice Kernel Quality Evaluation

2002 ◽  
Author(s):  
Hong-sun Yun ◽  
Won-ok Lee ◽  
Hoon Chung ◽  
Hyun-dong Lee ◽  
Jae-ryong Son ◽  
...  
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Kernel Quality

Non-destructive and contactless quality evaluation of table grapes by a computer vision system

2019 ◽  
Vol 156 ◽  
pp. 558-564 ◽  
Author(s):  
Dario Pietro Cavallo ◽  
Maria Cefola ◽  
Bernardo Pace ◽  
Antonio Francesco Logrieco ◽  
Giovanni Attolico
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Table Grapes ◽  
Non Destructive

Adaptive self-configuring computer vision system for quality evaluation of fresh-cut radicchio

2015 ◽  
Vol 32 ◽  
pp. 200-207 ◽  
Author(s):  
Bernardo Pace ◽  
Dario Pietro Cavallo ◽  
Maria Cefola ◽  
Roberto Colella ◽  
Giovanni Attolico
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Fresh Cut

Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams

Meat Science ◽  
2009 ◽  
Vol 81 (1) ◽  
pp. 132-141 ◽  
Author(s):  
Nektarios A. Valous ◽  
Fernando Mendoza ◽  
Da-Wen Sun ◽  
Paul Allen
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Laboratory Computer

scholarly journals Marbling Grading Framework Applied on Meat Boutique Environment

2016 ◽  
Author(s):  
Saulo Martiello Mastelini ◽  
Matheus Camilo Da Silva ◽  
Ana Paula Ayub da Costa Barbon ◽  
Sylvio Barbon Jr.
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Accurate Method ◽  
Analysis Tool ◽  
Production Environment ◽  
Computer Vision System ◽  
Beef Quality ◽  
Visual Approach ◽  
Food Market

Bovine meat commercialization has an important role in the general food market scenario. The beef quality evaluation is realized through many ways, being one of the parameters the intramuscular fat amount (marbling). This evaluation is often made by a visual approach, so the process is subjective and susceptible to some errors sources. The use of Computer Vision techniques results in an automatized, non-subjective, fast and accurate method for evaluation. This paper presents the modeling and development of a Computer Vision System for Marbling evaluation, applied on a meat Boutique, localized in Londrina – PR. The proposed System uses a Computer Vision approach to control the features of the marbling analysis tool, aiming to satisfy sanitary requirements for non-contamination of the analyzed samples. Besides that, multiples samples on the scene are supported by our application. The proposed Computer Vision System has proved to be suitable for implantation in a production environment, like a meat Boutique.

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