A Hybrid Cascade Approach for Human Skin Segmentation
Journal of Advances in Mathematics and Computer Science · pp. 1–14 · Published 29 Jul 2016
10.9734/BJMCS/2016/26412Abstract
Human skin segmentation is fundamental to a wide range of computer vision applications ranging from face recognition, facial expression recognition and gesture analysis to various human computer interaction domains. In this paper, we propose a multistage skin segmentation method built as a cascade of a nonparametric generic model and an adaBoost classifier. Several entities are used to train the adaBoost classifier. Feature vectors fed into the ada Boost contain color information from two different color spaces. Extensive experiments are conducted on two datasets in order to evaluate the performance of the approach. The various results obtained show that the proposed method is a promising approach and it successfully achieves high quality segmentation, while concurrently retaining reasonably low false alarm rates. The comparison of the proposed method with related state-of-the-art competitors reveals the superiority and effectiveness of the proposed method, while maintaining real-time performance.
Cited by 18
Samy Bakheet, Ayoub Al-Hamadi · Heliyon · 2022
Anuj Kumar, Shakti Kumar · Intelligent Automation & Soft Computing · 2023
Samy Bakheet, Shtwai Alsubai, Abdullah Alqahtani · Applied Sciences · 2022
Samy Bakheet, Ayoub Al-Hamadi · Information · 2016
Samy Bakheet, Ayoub Al-Hamadi · EURASIP Journal on Image and Video Processing · 2021
Cheng Yang, Xiang Yu, Arun Kumar · ELCVIA Electronic Letters on Computer Vision and Image Analysis · 2021
Samy Bakheet · Computation · 2017
Samy Bakheet · Journal of Russian Laser Research · 2017
Samy Bakheet, Ayoub Al-Hamadi · Journal of Russian Laser Research · 2020
Showing 9 of 18 known citations — external sources report more than can currently be individually listed.
Related research
- Enhanced Malware Detection in Windows Applications Using Ensemble Learning Techniques — shares topic coverage
- Pharmacy Impact on Covid-19 Vaccination Progress Using Machine Learning Approach — shares topic coverage
- Machine Learning-based Framework for Early Diabetes Risk Classification — shares topic coverage
- Enhanced Die Attach Process Defect Recognition on QFN Leadframe Packages — shares topic coverage
- A Distance Measure Based on Fuzzy D-implications: Application in Pattern Recognition — shares topic coverage
Article metrics
Real usage data collected on this platform.
17
Page views
0
PDF downloads
2
Outbound clicks
18
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.