Abstract
This paper analyzes and studies the color weight balance value based on the weighting rule of gray-scale algorithm, explores the combination of color beauty measurement and planar visual aesthetics evaluation, discusses the effect of color weight balance on the visual aesthetics, and evaluates the matching experiment through image processing. The data fits the curve of the relationship between the balance of color weight and visual aesthetics, and it provides a basic reference for the quantitative evaluation of the aesthetic quality of human-computer interaction interfaces. In the end, it is proved that the color weight balance has positive effect on visual aesthetics and it is also affected by other surrounding conditions.
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Acknowledgements
This study was supported by the foundation items: The National Key Research and Development Plan (No. 2019YFB2006402).
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Appendix: Experimental Raw Data
Appendix: Experimental Raw Data
See Table 2.
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He, T., Zhang, J. (2021). Effect of Color Weight Balance on Visual Aesthetics Based on Gray-Scale Algorithm. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_39
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DOI: https://doi.org/10.1007/978-3-030-80285-1_39
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