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Calibrated color measurements of agricultural foods using image analysis

In English

Författare

Summary, in English

A computer vision system (CVS) was implemented to quantify standard color of fruit and vegetables in sRGB, HSV and L*a*b* color spaces, and image capture conditions affecting the results were evaluated. These three color spaces are compared in terms of their suitability for color quantification in curved surfaces. The results show that sRGB standard (linear signals) was efficient to define the mapping between R'G'B' (no-linear signals) from the CCD camera and a device-independent system such as CIE XYZ. The CVS showed to be robust to changes in sample orientation, resolution, and zoom. However, the measured average color was shown to be significantly affected by the properties of the background and by the surface curvature and gloss. Thus all average color results should be interpreted with caution. L*a*b* system is suggested as the best color space for quantification in foods with curved surfaces. (C) 2006 Elsevier B.V. All rights reserved.

Avdelning/ar

  • Department of Food Technology, Engineering and Nutrition

Publiceringsår

2006

Språk

Engelska

Sidor

285-295

Publikation/Tidskrift/Serie

Postharvest Biology and Technology

Volym

41

Issue

3

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Food Engineering

Nyckelord

  • computer vision sensitivity
  • sRGB standard
  • CIE color
  • curved surfaces

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0925-5214