Automatic design support and image evaluation of two-coloured products using colour association and colour harmony scales and genetic algorithm

Tsai, Hsin Chun; Chou, Jyh-Rong

doi:10.1016/j.cad.2007.04.002

Cited by 56 publications

(48 citation statements)

References 19 publications

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“…Random-number color matching numbers 3,14,15,19,21, and 23 were obtained, among which "Religious" did not have any numerical values exceeding 0.6, thus, it was not considered.…”

Section: Example Verificationmentioning

confidence: 99%

“…Establish the cultural and creative commodity model of the mouse design by means of the Solidwork modeling software and choose those with the highest scores greater than 0.6 in the six groups of adjective vocabulary, respectively ("Religious" does not have any score higher than 0.6, thus, it is not considered), as well as the colors of random-number color matching numbers 3,14,15,19,21, and 23, as the examples of the validation questionnaire. The validating subjects consisted of 10 people (five males and five females) and used computer screens with the color corrected for answering the questionnaire.…”

Section: Example Verificationmentioning

confidence: 99%

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A study on the application of an artificial neural algorithm in the color matching of Taiwanese cultural and creative commodities

Hsiao

Wang

Lee

et al. 2014

Color Research & Application

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In the recent years, great importance has been shown toward the cultural creativity in Taiwan. Cultural identification and determining how best to apply it to commercial products require investigating and compiling a vast amount of cultural information, along with the individual ideas of designers, to develop new cultural products. During the product development and design process, the color scheme is the final and most important element. It not only represents the first image of the product but also elicits the important first-sight impression of consumers. Consequently, color ranks first in cultural commodity development. By understanding the Taiwanese culture, as well as assessing, verifying, and internalizing it into the materials that can be used by the designers, this study uses an artificial neural network system and simplifies the collected pictures that are representative of the Taiwanese culture into groups of different matching colors to assist designers in developing cultural commodities with different features and according to different cultural styles.

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“…Random-number color matching numbers 3,14,15,19,21, and 23 were obtained, among which "Religious" did not have any numerical values exceeding 0.6, thus, it was not considered.…”

Section: Example Verificationmentioning

confidence: 99%

Section: Example Verificationmentioning

confidence: 99%

A study on the application of an artificial neural algorithm in the color matching of Taiwanese cultural and creative commodities

Hsiao

Wang

Lee

et al. 2014

Color Research & Application

View full text Add to dashboard Cite

show abstract

“…We believe that color semantics is a legitimate challenge to be addressed in various venues of HCI: in automatic design [107][108][109][110][111][112], design by example [113][114][115][116], design grammar [117], design of user interaction [118][119][120][121][122][123][124][125], quantifying aesthetics of design [26,28,99], user experience design [126][127][128][129][130][131][132], and color design [40,[133][134][135][136][137][138]. For instance, in design by example, although users are supported by a pool of designs and some mechanisms help them choose their preferred designs [116], there is no well-defined interaction to understand the user's purpose of designs or what color combinations should be selected from their preferred designs.…”

Section: Color Semantics In Hcimentioning

confidence: 99%

Quantifying Aesthetics of Visual Design Applied to Automatic Design

Jahanian

2016

Springer Theses

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“…Ma et al (2007) applied fuzzy analytic hierarchy process and image compositing technique to construct the design decision-making support system provided for choosing the optimum product colour. Tsai and Chou (2007) and Tsai et al (2007aTsai et al ( , 2007b presented a colour design system which enables the designer to evaluate colour image or to search for required colour combinations using grey theory and genetic algorithm (GA). Zhang (2006) developed a product-colour intelligent design system using psycho-physical field theory, GA, and immune system algorithm.…”

Section: Introductionmentioning

confidence: 99%

Bacterial colony foraging for multi-mode product colour planning

Chen¹,

Zhu²,

Ma³

et al. 2015

IJBIC

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Abstract:In this work, in order to assist designer in colour planning during product development, an efficient synthesised evaluation model is presented to evaluate colour-combination schemes of multi-working modes products (MMP). A novel bacterial colony foraging (BCF) algorithm is proposed to search for the optimal colour-combination schemes of MMP based on the evaluation model. The proposed BCF extend original bacterial foraging algorithm to adaptive and cooperative mode by combining bacterial chemotaxis, cell-to-cell communication, and a self-adaptive foraging strategy. The experiment presents an exhaustive comparison of the proposed BCF and two successful bio-inspired search techniques, namely the genetic algorithm (GA) and particle swarm optimisation (PSO), on three MMP tested cases of different nature, namely a hair-drier with two-coloured areas and two working modes, and two arm-type aerial work platforms both two-coloured products while with two and three working modes, respectively. Simulation results demonstrate that the proposed method is feasible and efficient.

show abstract

Automatic design support and image evaluation of two-coloured products using colour association and colour harmony scales and genetic algorithm

Cited by 56 publications

References 19 publications

A study on the application of an artificial neural algorithm in the color matching of Taiwanese cultural and creative commodities

A study on the application of an artificial neural algorithm in the color matching of Taiwanese cultural and creative commodities

Quantifying Aesthetics of Visual Design Applied to Automatic Design

Bacterial colony foraging for multi-mode product colour planning

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