Aesthetic Measure Applied to Color Harmony*

Moon, Parry; Spencer, Domina Eberle

doi:10.1364/josa.34.000234

Cited by 104 publications

(76 citation statements)

References 3 publications

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“…To fully utilize the effects of color, color harmony is significant because an appropriate combination of colors enables people to convey information efficiently and effectively. Moon & Spencer summarized a color harmony theory and quantified it as an aesthetic measure [11][12][13]. Matsuda has created a color harmony model by summarizing some forms, schemes, and relationships in a practical color coordinate system developed by the Japan Color Research Institute [8].…”

Section: Related Workmentioning

confidence: 99%

Statistics-Based Interactive Evolutionary Computation for Color Scheme Search

Ishibashi

2015

IJAE

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This paper presents a statistics-based interactive evolutionary computation (IEC) method for color scheme searches. Generally, people who do not have sufficient skill or knowledge of colors need to devote considerable time and effort to creating color schemes. To overcome this problem, we propose a statistics-based interactive genetic algorithm and four similarity search functions. This combination allows users to easily and effectively obtain appropriate color schemes. To investigate the performance of the proposed method, we conducted two experiments and confirmed that the implemented application of the proposed method allows users to obtain a desired color scheme in less than 48 s. We also confirmed that the proposed method could provide users favorable recolored illustrations in less than 52 s. In addition, we confirmed that the search ability of the proposed method is superior to that of the conventional IEC method through a comparison experiment.

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Section: Related Workmentioning

confidence: 99%

Statistics-Based Interactive Evolutionary Computation for Color Scheme Search

Ishibashi

2015

IJAE

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“…In this study, a ranking rule of colour harmonies is constructed based on Moon & Spencers aesthetics measure theory 12,13 defined in Eq. (6):…”

Section: Aesthetic Measure For Colour Harmonymentioning

confidence: 99%

“…In the last few years, though several articles have been proposed on the study of the psychological preference of people reflecting on products, including their colours, [3][4][5][6][7] aesthetics, [8][9][10][11][12][13] and shapes, 14 the effect of one's physiological characteristic on the evaluated psychological preference was seldom taken into consideration. To overcome this shortcoming, the element of physiological characteristic is considered in this study such that the result is helpful for applying to product design for customization and personalization.…”

Section: Introductionmentioning

confidence: 99%

Erratum

2008

Color Research & Application

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An aesthetic measure based approach for constructing a colour design/selection system is proposed in this article. In this model, an image data base for the relationships between the psychological preference of customers and clothing colour tones is built using the membership functions of a fuzzy set, and an aesthetic measure calculation method based on colour harmony is also proposed. In addition, a skin colour detection theory is proposed to construct a skin colour detection program to detect the skin colour of a customer, which is then taken as the major colour in matching the skin, polo shirt, and(or) pant colours to select the best colour combination. Integrating the skin colour detection theory, colour harmony theory, aesthetic measure method, and fuzzy set theory, a program is constructed to build an aesthetic measure based colour design/selection system. With the aid of this system, one can get proper cloth colours to match his/her skin colour and image requirement by starting with inputting one's colour photo, catching image with a camera, or inputting R, G, B values of his/her skin. The theoretical results for the ranks of clothing colours proposed by the system are examined with the experimental results and the result shows they are very close, suggesting that the proposed colour selection system is acceptable. Although the selection of clothing colours is taken as an example to specify the methodology, it can also be used to develop a system for other products.

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“…Some of the best known of these prescriptions include: Chevreul's (1838) theory that there are both harmonies of analogous colors and harmonies of contrasting colors, Itten's (1961Itten's ( /1973 theory that two or more colors are harmonious if they compose neutral gray when mixed together, Munsell (1921Munsell ( /1969) and Ostwald's (1931) theories that colors are harmonious when they lie on certain paths in color space (e.g., varying in lightness while holding hue and saturation constant). Still others have been proposed by Nemscics (1993), Goethe (1810Goethe ( /2006, and Moon and Spencer (1944a;1944b).…”

Section: Introductionmentioning

confidence: 99%

Aesthetics of color combinations

Schloss

Palmer

2010

SPIE Proceedings

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The experiments described here were aimed at characterizing people's aesthetic responses to color pairs, both in terms of which colors people prefer in combination and how the spatial organization of the component colors influences pair preference. Previous studies of preference for and harmony of color combinations have produced conflicting results. For example, some claim that harmony increases with hue similarity, whereas others claim that it decreases. In the first set of experiments, we argue that such conflicting results are resolved by distinguishing among three types of judgments about color pairs: (a) preference for the pair as a whole, (b) harmony of the pair as a whole, and (c) preference for its figural color when viewed against its colored background. Empirical support for this distinction shows that pair preference and harmony both increase as hue similarity increases, but preference relies more strongly on component color preference and lightness contrast. Although pairs with highly contrastive hues are generally judged to be neither preferable nor harmonious, figural color preference ratings increase as hue contrast with the background increases. The present results thus refine and clarify some of the best-known and most contentious claims of color theorists. In the second set of experiments, we investigated how spatial organization influences color-pair preference asymmetries: differential preference for one color pair over another when the pairs contain the same colors in opposite spatial configurations. We found robust preference asymmetries, in which participants strongly preferred pairs with yellower, lighter figures on bluer, darker grounds. We also investigated which spatial factors influence these preference asymmetries. Relative area of the two component regions is clearly important, and relative surface-based area (i.e., after amodal figure-ground completion) is more influential than relative image-based area. Surroundedness is not required, because yellowness-blueness effects were comparable for figureground pairs in which the figure was surrounded by the ground and for mosaic arrangements in which the regions were adjacent and separated by a gap). Lightness-darkness effects, however, were in the opposite direction for figure-ground versus mosaic organizations: people prefer figure-ground organizations in which the smaller regions are lighter, but prefer mosaic organizations in which the smaller regions are darker. We provide possible phenomenological and ecological explanations for the reported results.

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Aesthetic Measure Applied to Color Harmony*

Cited by 104 publications

References 3 publications

Statistics-Based Interactive Evolutionary Computation for Color Scheme Search

Statistics-Based Interactive Evolutionary Computation for Color Scheme Search

Erratum

Aesthetics of color combinations

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