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| Pengukuran Nisbah Kontras× | Pengekstrakan Palet Warna× | |
|---|---|---|
| Bidang | Seni Visual | Seni Visual |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2018 | 2012 |
| Pengasas≠ | W3C Accessibility Guidelines | Mohammad K. Hasan |
| Jenis≠ | Measurement and compliance assessment | Analytical pipeline |
| Sumber perintis≠ | World Wide Web Consortium (2018). Web Content Accessibility Guidelines (WCAG) 2.1. https://www.w3.org/WAI/WCAG21/quickref/ link ↗ | Hasan, M. K., & Findley, W. M. (2012). Computational Color Harmony. IEEE Transactions on Image Processing, 21(2), 827–837. link ↗ |
| Alias | Color Contrast Evaluation, Luminance Contrast Analysis | Dominant Color Identification, Palette Mining |
| Berkaitan | 5 | 5 |
| Ringkasan≠ | Contrast Ratio Measurement is a systematic method for quantifying the perceptual difference between two colors, typically foreground and background text or elements. Grounded in color science and accessibility standards, this pipeline calculates luminance-based contrast to ensure visual content is readable for all viewers, including those with low vision or color blindness. | Color Palette Extraction is a computational method for automatically identifying the dominant and aesthetically significant colors within an image or design. By clustering and ranking color frequencies using computer vision techniques, this pipeline produces actionable color palettes suitable for design replication, brand identity development, or creative inspiration. |
| ScholarGateSet data ↗ |
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