Goethe on Color and Light

Grandy, David

doi:10.5840/jis2005171/22

Cited by 3 publications

(2 citation statements)

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“…Nevertheless, all humans have different cultural and contextual associations with color that vary our perceptions [ 12 , 13 , 14 ]. As Newton said, “Colour is a sensation in the viewers’ mind” [ 15 ].…”

Section: Fundamentalsmentioning

confidence: 99%

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis

Nicolás-Sáenz

Ledezma

Pascau

et al. 2023

Sensors

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Classifying pixels according to color, and segmenting the respective areas, are necessary steps in any computer vision task that involves color images. The gap between human color perception, linguistic color terminology, and digital representation are the main challenges for developing methods that properly classify pixels based on color. To address these challenges, we propose a novel method combining geometric analysis, color theory, fuzzy color theory, and multi-label systems for the automatic classification of pixels into 12 conventional color categories, and the subsequent accurate description of each of the detected colors. This method presents a robust, unsupervised, and unbiased strategy for color naming, based on statistics and color theory. The proposed model, “ABANICCO” (AB ANgular Illustrative Classification of COlor), was evaluated through different experiments: its color detection, classification, and naming performance were assessed against the standardized ISCC–NBS color system; its usefulness for image segmentation was tested against state-of-the-art methods. This empirical evaluation provided evidence of ABANICCO’s accuracy in color analysis, showing how our proposed model offers a standardized, reliable, and understandable alternative for color naming that is recognizable by both humans and machines. Hence, ABANICCO can serve as a foundation for successfully addressing a myriad of challenges in various areas of computer vision, such as region characterization, histopathology analysis, fire detection, product quality prediction, object description, and hyperspectral imaging.

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Section: Fundamentalsmentioning

confidence: 99%

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis

Nicolás-Sáenz

Ledezma

Pascau

et al. 2023

Sensors

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“…This is due to the intrinsic difficulties of working with colors: the lack of clear boundaries between different hues, the apparent subjectivity of human perception, the cultural and contextual differences, and the absence of consensus regarding color naming. As Newton said, "color is a sensation in the viewers' mind" [3].…”

Section: Introductionmentioning

confidence: 99%

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation

Nicolás-Sáenz¹,

Ledezma²,

Pascau³

et al. 2022

Preprint

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In any computer vision task involving color images, a necessary step is classifying pixels according to color and segmenting the respective areas. However, the development of methods able to successfully complete this task has proven challenging, mainly due to the gap between human color perception, linguistic color terms, and digital representation. In this paper, we propose a novel method combining geometric analysis of color theory, fuzzy color spaces, and multi-label systems for the automatic classification of pixels according to 12 standard color categories (Green, Yellow, Light Orange, Deep Orange, Red, Pink, Purple, Ultramarine, Blue, Teal, Brown, and Neutral). Moreover, we present a robust, unsupervised, unbiased strategy for color naming based on statistics and color theory. ABANICCO was tested against the state of the art in color classification and with the standarized ISCC-NBS color system, providing accurate classification and a standard, easily understandable alternative for hue naming recognizable by humans and machines. We expect this solution to become the base to successfully tackle a myriad of problems in all fields of computer vision, such as region characterization, histopathology analysis, fire detection, product quality prediction, object description, and hyperspectral imaging.

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Chromatology of security: Introducing colours to visual security studies

Andersen¹,

Vuori

Guillaume

2015

Security Dialogue

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The agenda of this article is to highlight how security becomes intelligible, is enacted, contested and (re)appropriated in part through colour use. Even though colours are a natural phenomenon, their meanings are societal products, and part of our constructed visibilities. These can be investigated through chromatology, the study of colour in relation to people. We illustrate this by applying multimodal social semiotics to view highly securitized sites, those of concentration and enemy-combatant camps. We show that the colour uses instituted to classify and govern prisoners not only structure the inmates socially, but also become vehicles for resisting the security discourses associated with them. The aim of the article is to highlight how security and international relations are intersemiotic relations, and to open up the study of security to an expanded range of semiotic modalities and methods of inquiry.

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Goethe on Color and Light

Cited by 3 publications

References 0 publications

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Analysis

ABANICCO: A New Color Space for Multi-Label Pixel Classification and Color Segmentation

Chromatology of security: Introducing colours to visual security studies

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