Uniform Color Spaces

Cheung, Vien

doi:10.1007/978-3-540-79567-4_14

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The CIE organization decided to fix the lightness inaccuracies by introducing ∆E * 00 . It is currently the most complicated, CIE color difference algorithm, yet it is accurate [64][65][66]. The difference between two colors is calculated in ∆E * 00 as follows.…”

Section: Ciede2000mentioning

confidence: 99%

A Computer-Vision-Based Approach for Nitrogen Content Estimation in Plant Leaves

et al. 2021

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Nitrogen is an essential nutrient element required for optimum crop growth and yield. If a specific amount of nitrogen is not applied to crops, their yield is affected. Estimation of nitrogen level in crops is momentous to decide the nitrogen fertilization in crops. The amount of nitrogen in crops is measured through different techniques, including visual inspection of leaf color and texture and by laboratory analysis of plant leaves. Laboratory analysis-based techniques are more accurate than visual inspection, but they are costly, time-consuming, and require skilled laboratorian and precise equipment. Therefore, computer-based systems are required to estimate the amount of nitrogen in field crops. In this paper, a computer vision-based solution is introduced to solve this problem as well as to help farmers by providing an easier, cheaper, and faster approach for measuring nitrogen deficiency in crops. The system takes an image of the crop leaf as input and estimates the amount of nitrogen in it. The image is captured by placing the leaf on a specially designed slate that contains the reference green and yellow colors for that crop. The proposed algorithm automatically extracts the leaf from the image and computes its color similarity with the reference colors. In particular, we define a green color value (GCV) index from this analysis, which serves as a nitrogen indicator. We also present an evaluation of different color distance models to find a model able to accurately capture the color differences. The performance of the proposed system is evaluated on a Spinacia oleracea dataset. The results of the proposed system and laboratory analysis are highly correlated, which shows the effectiveness of the proposed system.

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Section: Ciede2000mentioning

confidence: 99%

A Computer-Vision-Based Approach for Nitrogen Content Estimation in Plant Leaves

et al. 2021

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“…CIELAB and CIELUV have different strengths and weaknesses depending on the application. CIELAB works better on reflective surfaces (printing industry) while CIELUV is better for self-illuminated colours (monitors) [4]. It is suggested that CIELUV is more stable for saturation and widely used for information visualization.…”

Section: Introductionmentioning

confidence: 99%

Colour Similarity Measure at Different Brightness Using CIELUV Colour Space

JAAFAR¹

2022

Preprint

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<p>In the field of colour science and image processing, quantifying colours into meaningful information can be hard because the perception of colour is an individual experience and it is difficult to measure. This paper proposed a method of comparing colours perceptually based on the CIELUV colour space. The Colour Similarity Measure (CSM) was created after observing the movement of the point of the same colour in the CIELUV space at different external brightness. This algorithm can judge and map the similarity of colour between two images while minimizing the lighting effect. With a simple modification, the CSM can also be used as an edge detection algorithm and the proposed method is proven to have a human-like sensibility of edge in an image. Even without the help of deep learning, we demonstrate the ability of CSM to find edge patterns almost as good as the current best edge detector in the colour blind test. </p>

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Effects of Light-Emitting Diode (LED) Configuration on Luminance and Color of an Edge-Lit Backlight Unit

Moon

2015

J. Display Technol.

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In this paper, we evaluated quantitative changes in the luminance and the color on the light-exit plane of an LED edge-lit backlight unit (BLU) by systematically controlling the optical properties of individual white LEDs. We placed a light absorbing film and red-green-blue filters to control the white intensity and the color of an individual LED string, respectively. Impacts of this 'defect' LED's optical properties were systematically monitored across the light-exit plane in terms of local distribution of the luminance and the color, overlaying prism films and diffusion film on a light guiding plate (LGP). The roles of prism films and diffusion film were also experimentally analyzed to assess their homogenizing capability for the luminance and the color with respect to the defect-like LEDs.

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Uniform Color Spaces

Cited by 5 publications

References 8 publications

A Computer-Vision-Based Approach for Nitrogen Content Estimation in Plant Leaves

A Computer-Vision-Based Approach for Nitrogen Content Estimation in Plant Leaves

Colour Similarity Measure at Different Brightness Using CIELUV Colour Space

Effects of Light-Emitting Diode (LED) Configuration on Luminance and Color of an Edge-Lit Backlight Unit

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