Color measurement in L ¿ a ¿ b ¿ units from RGB digital images

By K. León, Domingo Mery, F. Pedreschi, Jorge León. 2006

874 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Media Technology

View Paper: https://www.semanticscholar.org/paper/74d2fd52d71a0e80febed81e1093846d6bbb837c

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In Computer Vision and Pattern Recognition

In Industrial and Manufacturing Engineering

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Citations in the corpus

Colour Measurement and Analysis in Fresh and Processed Foods: A Review (2012, methodology): “RGB, HSVand CIELAB are the most popular space colour models used in food computer vision (Dana and Ivo 2008; Du and Sun 2004; Leon et al. 2006; Sun 2004).”
Rapid and non-invasive measurements of fat and pigment concentrations in live and slaughtered Atlantic salmon (Salmo salar L.) (2008, background): “Automated systems for objective estimation of pigment concentration and visual fillet colour based on spectroscopy or digital photography have therefore been developed (Rønsholdt and McLean 2001; León et al., 2006; Stien et al., 2006; Kause et al., 2007; Misimi et al., 2007).”
Colour measurements by computer vision for food quality control – A review (2013, methodology): “RGB model is the most often used colour model, in which each sensor captures the intensity of the light in the red (R), green (G) or blue (B) spectrum, respectively (Leon et al., 2006).”
Computer Vision System Applied to Classification of “Manila” Mangoes During Ripening Process (2014, result): “…finding with the use of a single color space showed that the classification levels were considerably lower than the parameters proposed in this work for both sets, although CIELAB achieved better scores than HSB, which is in agreement with the studies by León et al. (2006) andMendoza et al. (2006).”
Colorimetric patterns of wood pellets and their relations with quality and energy parameters (2014, positive): “can be obtained rapidly using computer vision systems being the color of a pixel of a digital image expressed by three coordinates (sRGB) [25,26].”
A multispectral vision system to evaluate enzymatic browning in fresh-cut apple slices (2011, background): “In order to carry out a detailed characterization of the color f a food item, and thus to more precisely evaluate its quality, it s necessary to know the color value of each point of its surface León et al., 2006).”
Quantification of enzymatic browning in apple slices applying the fractal texture Fourier image (2009, methodology): “Recently, Leon et al. (2006) have suggested a computer vision system (CVS) to measure color in Lab from RGB space to be used in image analysis and some studies have been undertaken applying that approximation to food (Pedreschi et al., 2007a,b; Quevedo et al., 2008a).”
Application of Image Analysis and Artificial Neural Network to Predict Mass Transfer Kinetics and Color Changes of Osmotically Dehydrated Kiwifruit (2011, methodology): “Transformation RGB into L*a*b space was performed according to a direct model similar to the procedure described by Leon et al. (2006) .”