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Human Skin Detection Using RGB, HSV and YCbCr Color Models
Open accessAbstract
Human Skin detection deals with the recognition of skin-colored pixels and regions in a given image.Skin color is often used in human skin detection because it is invariant to orientation and size and is fast to process.A new human skin detection algorithm is proposed in this paper.The three main parameters for recognizing a skin pixel are RGB (Red, Green, Blue), HSV (Hue, Saturation, Value) and YCbCr (Luminance, Chrominance) color models.The objective of proposed algorithm is to improve the recognition of skin pixels in given images.The algorithm not only considers individual ranges of the three color parameters but also takes into account combinational ranges which provide greater accuracy in recognizing the skin area in a given image.
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DETECTION OF SKIN DISEASE IN PERVASIVE HEALTH CARE USING CONVOLUTION NEURAL NETWORK
Sarojini, S., Simon, S., Moorthy, R. S., & Pabitha, P. (2021) · International Conference on Advanced Scientific Innovation in Science, Engineering and Technology (ICASISET) · doi:10.4108/eai.16-5-2020.2304021
Komparasi Filter Warna Pada Sistem Pelacakan Wajah Berbasis Partikel Filter
Sugandi, B., & Riftilah, S. (2021) · CESS (Journal of Computer Engineering System and Science) · doi:10.24114/cess.v6i1.21868
Disease Identification System using Image Analysis
Kapoor, E. A. A. (2021) · Türk bilgisayar ve matematik eğitimi dergisi · doi:10.17762/turcomat.v12i1s.1582
A Connected Component Labelling algorithm for multi-pixel per clock cycle video streamPreprint
Kowalczyk, M., & Kryjak, T. (2021) · doi:10.36227/techrxiv.14626287.v1
Transformation Invariant Real-time Recognition of Indian Sign Language using Feature Fusion
Patel, P. R., & Patel, N. M. (2021) · INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING · doi:10.47164/ijngc.v12i3.633
An Effective Pixel-Wise Approach for Skin Colour Segmentation Using Pixel Neighbourhood TechniquePreprint
Dastane, T., Rao, V., Shenoy, K., & Vyavaharkar, D. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2108.10971
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Face Detection Based On Eye-Mouth Triangular Approach
Kartika, D., & Suprijadi, S. (2020) · Indonesian Journal of Physics · doi:10.5614/itb.ijp.2020.31.2.1
Metadata
- Authors
- Kolkur, S., Kalbande, D., Shimpi, P., Bapat, C., & Jatakia, J.
- Affiliations
- University of Mumbai (IN)
- Corresponding author
- Kolkur, S.
- ORCID
- Kalbande, D.
- Venue
- Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
- Publisher
- Atlantis Press
- Published
- 2017
- OpenAlex
- W2593035626
- Cited by
- 226
- References
- 12
- Citations by year
- 2026: 3 · 2025: 19 · 2024: 18 · 2023: 26 · 2022: 35 · 2021: 48 · 2020: 31 · 2019: 32 · 2018: 13 · 2017: 1
- FWCI
- 6.16
- Type
- conference paper
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- human skin detection, skin color, RGB color model, HSV color space, YCbCr color space, color space comparison, skin region segmentation
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