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Unified Approach in Food Quality Evaluation Using Machine Vision

  • Rohit R. Parmar
  • Kavindra R. Jain
  • Chintan K. Modi
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 192)

Abstract

The paper presents a unified approach for quality evaluation of food using image processing and machine vision. In this paper basic tool is combination of computer and machine vision for image analysis and processing through which fast and accurate quality is achieved that too with the help of non-destructive method. Machine vision in food has broadened its range of applications from grains, cereals, fruits to vegetables including processed products as well as spices in which there is a high degree of quality achieved as compared to human vision inspection. In this paper we quantify the qualities of various food products and figure out features which are directly or inversely affect the quality of the food product. Based on these features a generalized formula of quality is proposed to be used for quality evaluation of any type of food product.

Keywords

Quality Machine vision Image processing Fruit Vegetables Grains Spices Unification approach 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rohit R. Parmar
    • 1
  • Kavindra R. Jain
    • 1
  • Chintan K. Modi
    • 1
  1. 1.EC DepartmentG.H. Patel College of Engineering & TechnologyIndia

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