ガイド
情報量の多い画像で悪い色選びを避ける方法
複雑な画像からノイズ色を避けて実用色だけを抽出するコツです。
情報量の多い画像は影やハイライトで配色が乱れやすくなります。抽出ルールを決めると安定します。
Skip tiny details and reflective spots
Do not sample from glare, sharp highlights, or tiny patterned areas.
These spots rarely represent usable interface colors.
Prioritize broad, stable color zones
Pick from larger areas with consistent color values.
Backgrounds, large objects, and flat surfaces are usually safer.
Avoid edge pixels between two colors
Borders and anti-aliased edges often create mixed values.
Click slightly inside a color area instead of directly on edges.
- Zoom in before sampling small elements.
- Take 2-3 samples in the same region.
- Keep the median-looking value.
Filter palette noise immediately
After extraction, remove colors that are too close to each other.
A smaller cleaned palette is easier to use in web UI.
Validate your final set in context
Apply selected colors to a quick mockup and review readability.
If one color feels unstable, replace it before rollout.
Most helpful when
- Sampling from lifestyle photos.
- Working with detailed product scenes.
- Cleaning up over-large extracted palettes.
Sample intentionally, not randomly
A few careful picks from stable regions give better results than dozens of random clicks.