利用色彩空间算法进行个人色彩分析

Tanakorn Withurat, Wannapa Sripen, Juntanee Pattanasukkul, Witsarut Wongsim, Suchawalee Jeeratanyasakul, Thitirat Siriborvornratanakul
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引用次数: 0

摘要

本研究以个人色彩决策系统的研究为基础。它采用色彩空间逻辑,减少了与拍摄照片相关的限制,旨在改进现有的个人色彩决策方法。目的是为个人色彩分析获得更可靠、更客观的结果。我们提出的方法主要是利用个人色彩数据库和决策树方法,开发一个全面的色彩选择框架。研究结果表明,在图像创作中利用个人色彩分析可以帮助个人培养积极自信的形象,这在人际关系和社会交往中具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Personal color analysis using color space algorithm

Personal color analysis using color space algorithm

This study builds upon the research conducted on the personal color decision system. It employs color space logic and reduces limitations associated with capturing photos, aiming to enhance the existing personal color decision method. The objective is to obtain more reliable and objective results for personal color analysis. Our proposed approach focuses on developing a comprehensive color selection framework by leveraging personal color databases and employing decision tree methods. The findings of this research suggest that utilizing personal color analysis in image creation can assist individuals in cultivating a positive and confident image, which holds significance in interpersonal relationships and social interactions.

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