Project Title
Team
- E/20/197, A.H.D. Kawya, email
- E/20/211, K.W.I.T. Kumarasinghe, email
- E/20/212, R.M.S.H. Kumarasinghe, email
- E/20/242, G.A.I. Malinga, email
Table of Contents
Introduction
“SkinVision: Skin Tone, Texture and Health Analyzer” aims to develop an advanced system that leverages image processing and artificial intelligence to analyze skin images.
The system focuses on three key aspects:
- Accurately determining skin tone
- Assessing texture (smoothness or roughness)
- Evaluating healthiness metrics like redness, blemishes, and wrinkles </ul>
By automating these tasks, the project addresses the limitations of subjective and manual skin evaluations, offering a reliable, real-time, and accessible solution for dermatology, cosmetics, and personal skin health monitoring. ## Other Sub Topics ..... ## Links - [Project Repository](https://github.com/cepdnaclk/e20-co543-SkinVision){:target="_blank"} - [Project Page](https://cepdnaclk.github.io/e20-co543-SkinVision){:target="_blank"} - [Department of Computer Engineering](http://www.ce.pdn.ac.lk/) - [University of Peradeniya](https://eng.pdn.ac.lk/) [//]: # (Please refer this to learn more about Markdown syntax) [//]: # (https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet)