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Updated: Jun 16, 2025

04:43
Visualizing Visual Adaptation
Published on: April 24, 2017
8.9K
Shirt-color recognition for the color-blindness.
Qian-Qing Wong1, Kok-Why Ng1, Su-Cheng Haw1
1Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Malaysia.
Methodsx
|August 19, 2024
Summary
This study introduces a color recognition system to help color-blind individuals. The system detects clothing colors in images, offering matching recommendations for daily activities.
Area of Science:
- Computer Vision
- Human-Computer Interaction
- Accessibility Technology
Background:
- Color blindness significantly impacts daily activities and psychological well-being.
- Existing systems lack robust color recognition, especially under varying lighting conditions.
- Assisting color-blind individuals in making informed clothing choices is crucial.
Purpose of the Study:
- To develop an accurate color recognition and detection system for clothing images.
- To enhance system accuracy by employing advanced algorithms to mitigate lighting variations.
- To provide color matching recommendations for color-blind individuals.
Main Methods:
- Image processing techniques to extract RGB values and convert them to HSV color space.
- Integration of a machine learning model within a web application for color classification.
- Development of an interface to display predicted color names and matching color suggestions.
Main Results:
- Successfully retrieved and converted color values from images.
- Developed a functional web application capable of color prediction.
- Demonstrated the system's ability to suggest matching colors for user assistance.
Conclusions:
- The developed system offers a practical solution for color-blind individuals.
- Advanced algorithms improve color recognition accuracy despite lighting challenges.
- The system empowers color-blind users with better purchasing decisions and daily navigation.
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