Open AccessA FASHION COLOUR COMBINATION VISUALIZATION MODEL USING GENETIC ALGORITHM
Author(s) -
O.S. Salako,
C O Oloruntoba,
O V Sanusi,
A A Maruf-Sogeyinbo
Publication year - 2017
Publication title -
journal of natural sciences, engineering and technology/journal of natural science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2315-7461
pISSN - 2277-0593
DOI - 10.51406/jnset.v15i2.1679
Subject(s) - visualization , computer science , genetic algorithm , genetic programming , fashion design , artificial intelligence , human–computer interaction , engineering drawing , computer graphics (images) , information retrieval , machine learning , engineering , clothing , geography , archaeology
Selecting appropriate colours poses great challenge for expert fashion designers and users. At times, different coloured fabrics and textiles have to be manually placed side by side to see how well they combine. In this paper, a model was developed for fashion colour combination visualization for ladies using concepts in genetic algorithm to achieve a display of colour variations. This research involved 26 users to suggest rules that guide choosing fashion colour combination for ladies in the initial stage. Analysis of the questionnaire was carried out in an online survey site. Two of the suggestions made by the users were considered. These are light colours on dark colours and stripped colours on plain colours. The system was implemented using C# programming language and XAML. It was found to be a useful tool to users and fashion designers for the visualization of fashion colour combination for ladies.