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 fo...

Full description

Saved in:
Bibliographic Details
Published inAdvances in computational intelligence Vol. 4; no. 2; p. 5
Main Authors Withurat, Tanakorn, Sripen, Wannapa, Pattanasukkul, Juntanee, Wongsim, Witsarut, Jeeratanyasakul, Suchawalee, Siriborvornratanakul, Thitirat
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.06.2024
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Color
Computational Intelligence
Datasets
Decision trees
Engineering
Hair
Machine Learning
Original Article
Preferences
Skin
Social factors
LAB color space
Image processing
Decision tree
Personal color
HSV color space
Online AccessGet full text
ISSN2730-7794
2730-7808
DOI10.1007/s43674-024-00071-9

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2730-7794
2730-7808
DOI:10.1007/s43674-024-00071-9