Journal ArticleDOI
Colour measurements by computer vision for food quality control – A review
Di Wu,Da-Wen Sun +1 more
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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.read more
Citations
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Proceedings ArticleDOI
Porous Silicon Optical Distributed Bragg Reflector Sensor: Methods of Characterization
TL;DR: In this article, the reflectivity of the porous silicon distributed Bragg reflector optical sensor was calculated by a matrix method for different values of porosity layers, based on analyzing of dominant interference peak as Bragg peak and whole spectrum.
Journal ArticleDOI
Development of a Quantitative Colour-Based Software Method to Evaluate the Effectiveness of Active Antioxidant Packaging on Fresh Sliced Mushrooms
TL;DR: In this paper , a software-based procedure consisting of colour measurement of mushrooms was developed for assessing the effectiveness of a new antioxidant active packaging, which consists of sodium metabisulphite combined with citric acid, green tea extract combined with a-tocopherol and purple carrot extract.
Proceedings ArticleDOI
Color Comparison Method Using Smartphone Camera
TL;DR: In this article , a system to compare the difference of color between two parts of a car is proposed, which takes the input directly from smartphone camera and extracts values in Lab color space.
Journal ArticleDOI
Using computer-aided image processing to estimate chemical composition of igneous rocks: A potential tool for large-scale compositional mapping
TL;DR: In this article, the authors discuss methods for color calibration through a series of experiments under different light intensities and conditions (spectra) and discuss methods that ensure images are properly exposed.
References
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Book
Color Science. Concepts and Methods, Quantitative Data and Formulas
TL;DR: An encyclopedic survey of color science can be found in this article, which includes details of light sources, color filters, physical detectors of radiant energy, and the working concepts in color matching, discrimination, and adaptation.
Computer vision : a modern approach = 计算机视觉 : 一种现代的方法
David Forsyth,Jean Ponce +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.
Book
Computer Vision: A Modern Approach
David Forsyth,Jean Ponce +1 more
TL;DR: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications as discussed by the authors, which includes essential topics that either reflect practical significance or are of theoretical importance.
Journal ArticleDOI
Current research in meat color
TL;DR: This review surveyed recent literature focused on factors that affect myoglobin chemistry, meat color, pigment redox stability, and methodology used to evaluate these properties, finding that unanswered questions regarding meat color remain.
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