Lighting effect configuration method, device, equipment, and medium

By performing pixel clustering and color analysis on the target image, the area proportion and significance of the representative color are automatically determined, and the lighting effect color scheme is constructed, which solves the problem of difficult to generate coordinated and beautiful lighting effects in the prior art, and achieves a high accuracy and convenient lighting effect configuration.

CN119383807BActive Publication Date: 2025-03-18SHENZHEN INTELLIROCKS TECH CO LTD +1
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Patent Information

Application Number
CN202411970776.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-30
Publication Date
2025-03-18
Estimated Expiration
2044-12-30

AI Technical Summary

Technical Problem

Existing smart lighting systems are difficult to automatically extract key colors from user-provided images and generate coordinated and aesthetic lighting color schemes, resulting in a deviation from user expectations.

Method used

By acquiring the target image, pixel clustering is performed to obtain representative colors, determine the area proportion and significance of the representative colors, select appropriate representative colors as background colors and embellishment colors, and construct a lighting effect color scheme.

Benefits of technology

It realizes automatic extraction of key color information from the images provided by users, and generates a lighting color scheme that matches the image atmosphere and emotions, improving the accuracy and convenience of lighting effect configuration.

✦ Generated by Eureka AI based on patent content.

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    Figure CN119383807B_ABST
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Abstract

The present application relates to a lighting effect configuration method and apparatus, equipment, and medium, the method comprising: acquiring a target image, performing pixel clustering on the target image, obtaining multiple pixel clusters and a representative color of each pixel cluster, the representative color being the color of the central pixel of the corresponding pixel cluster; determining the area ratio of the total number of pixels of each pixel cluster relative to the total number of pixels of the target image; determining the data distance between each representative color and the average color of the target image to quantify the prominence of the representative color; selecting a portion of representative colors with a relatively high area ratio as the background color of the lighting effect, selecting a portion of representative colors with a relatively high prominence from the remaining representative colors as the accent colors of the lighting effect, and constructing a lighting effect color scheme based on the background color and the accent color. The present application applies a new idea to solve the problem of extracting the color scheme required for lighting effects from images, and can meet the diverse needs of lighting systems in modern smart home environments.
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