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Journal ArticleDOI

Colour measurements by computer vision for food quality control – A review

Di Wu, +1 more
- 01 Jan 2013 - 
- Vol. 29, Iss: 1, pp 5-20
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TLDR
In this article, the authors reviewed the fundamentals and applications of computer vision for food colour measurement, and the advantages and disadvantages of using computer vision techniques for colour measurement are analyzed and its future trends are proposed.
Abstract
Colour is the first quality attribute of food evaluated by consumers, and is therefore an important component of food quality relevant to market acceptance. Rapid and objective measurement of food colour is required in quality control for the commercial grading of products. Computer vision is a promising technique currently investigated for food colour measurement, especially with the ability of providing a detailed characterization of colour uniformity at pixel-based level. This paper reviews the fundamentals and applications of computer vision for food colour measurement. Introduction of colour space and traditional colour measurements is also given. At last, advantages and disadvantages of computer vision for colour measurement are analyzed and its future trends are proposed.

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Citations
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Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

David Forsyth, +1 more
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Journal ArticleDOI

Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications

TL;DR: It is evident that hyperspectral imaging can automate a variety of routine inspection tasks and is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future.
Journal ArticleDOI

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

TL;DR: A detailed overview of the comparative introduction, latest developments and applications of computer vision systems in the external quality inspection of fruits and vegetables is presented.
Journal ArticleDOI

Fusion of electronic nose, electronic tongue and computer vision for animal source food authentication and quality assessment – A review

TL;DR: The aim of this work is to review the recent achievements in the field of artificial sensors’ application, in the evaluation of animal source food products.
Journal ArticleDOI

Food Analysis Using Artificial Senses

TL;DR: This paper summarizes achievements in the field of artificial senses, including a brief history of these systems, descriptions of most commonly used sensors, data analysis methods, and application of Artificial senses to food analysis, in particular quality control, authenticity and falsification assessment, and monitoring of production processes.
References
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Journal ArticleDOI

Effects of storage temperature and fruit ripening on firmness of fresh cut tomatoes

TL;DR: In this paper, the authors measured the force necessary to cause a deformation of 3mm, in the outer and the radial pericarp, daily or every two days, depending on the combination of stage of ripening and temperature.
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Pizza quality evaluation using computer vision: Part 1. Pizza base and sauce spread

TL;DR: In this paper, the use of computer vision for inspection of pizza base and tomato sauce spread quality was investigated, and the experimental results for the sauce spread analysis show that by using computer vision in conjunction with fuzzy logic a classification accuracy of 92% can be achieved.
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A Low Cost Video Technique for Colour Measurement of Potato Chips

TL;DR: In this paper, a computer-based video image analysis system has been developed to quantify the colour of potato chips in L * a * b * colour space, and the sensitivity of the technique to separate ‘colours' correlated well with the capability of the human eye.
Journal ArticleDOI

Short-wave near-infrared spectroscopy analysis of major compounds in milk powder and wavelength assignment.

TL;DR: Short-wave near-infrared (NIR) spectroscopy at 800-1050 nm region was investigated for the analysis of main compounds in milk powder and the proposed wavelength assignment in the short-wave NIR region could be used for the component contents determination of milk powder.
Journal ArticleDOI

Use of digital images to estimate CIE color coordinates of beef

TL;DR: In this article, the authors evaluated the use of digital images (DI) to estimate CIE L∗a∗b∗, hue angle and chroma of beef, as compared to a colorimeter (CM).
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