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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Statistical Color Models with Application to Skin Detection
Jones, M., & Rehg, J. M. (2002) · International Journal of Computer Vision · doi:10.1023/a:1013200319198 · Cited by 1,542 · see citing works
A Survey on Pixel-Based Skin Color Detection Techniques
Vezhnevets, V., Sazonov, V., & Andreeva, A. D. (2003) · Cited by 936 · see citing works
Statistical color models with application to skin detection
Jones, M., & Rehg, J. M. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1999.786951 · Cited by 491 · see citing works
Comparative Study of Skin Color Detection and Segmentation in HSV and YCbCr Color Space
Shaik, K. B., Ganesan, P., Kalist, V., Sathish, B. S., & Jenitha, J. M. M. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.07.362 · Cited by 346 · see citing works
Comparison of five color models in skin pixel classification
Zarit, B. D., Super, B. J., & Quek, F. K. H. (2003) · Analysis and Modeling of Faces and Gestures · doi:10.1109/ratfg.1999.799224 · Cited by 333 · see citing works
A novel skin color model in YCbCr color space and its application to human face detection
Phung, S. L., Bouzerdoum, A., & Chai, D. (2003) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2002.1038016 · Cited by 261 · see citing works
A Bayesian approach to skin color classification in YCbCr color space
Chai, D., & Bouzerdoum, A. (2002) · doi:10.1109/tencon.2000.888774 · Cited by 251 · see citing works
A comparative assessment of three approaches to pixel-level human skin-detection
Brand, J., & Mason, J. S. (2002) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2000.905653 · Cited by 227 · see citing works
Optimum color spaces for skin detection
Albiol, A., Torres, L., & Delp, E. J. (2002) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2001.958968 · Cited by 195 · see citing works
A Fusion Approach for Efficient Human Skin Detection
Tan, W. R., Chan, C. S., Yogarajah, P., & Condell, J. V. (2011) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2011.2172451 · Cited by 165 · see citing works
Skin Detection -a Short Tutorial
Daugman, J. G., Schuckers, S., Nandakumar, K., Rakvic, R. N., Muramatsu, D., Yoshimura, I., Yoshimura, M., Wan, L., Usher, D. A., Tosa, Y., et al. (2010) · Cited by 75 · see citing works
Robust Skin Colour Detection And Tracking Algorithm
M.Patil, P. Y. M. P. M. P. (2012) · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Poorani. M, Prathiba. T, Ravindran. G: "Integrated Feature Extraction for Image Retrieval", Interna- tional Journal of Computer Science and Mobile Computing vol.2 no. 2, 28-35(February2013)
Cited by
Sorted by citations
Manakitsa, N., Maraslidis, G. S., Moysis, L., & Fragulis, G. F. (2024) · Technologies · doi:10.3390/technologies12020015 · Cited by 326 · see citing works
Groh, M., Harris, C., Soenksen, L. R., Lau, F., Han, R., Kim, A., Koochek, A., & Badri, O. (2021) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw53098.2021.00201 · Cited by 247 · see citing works
Balaji, V., Suganthi, S. T., Rajadevi, R., Kumar, V. K., Balaji, B. S., & Pandiyan, S. (2020) · Measurement · doi:10.1016/j.measurement.2020.107922 · Cited by 192 · see citing works
An Open Framework for Remote-PPG Methods and Their Assessment
Boccignone, G., Conte, D., Cuculo, V., D’Amelio, A., Grossi, G., & Lanzarotti, R. (2020) · IEEE Access · doi:10.1109/access.2020.3040936 · Cited by 109 · see citing works
Deep Learning Approaches for Prognosis of Automated Skin Disease
Kshirsagar, P. R., Manoharan, H., Selvarajan, S., Alshareef, A. M., Albishry, N., & Balachandran, P. K. (2022) · Life · doi:10.3390/life12030426 · Cited by 91 · see citing works
Miah, A. S. M., Shin, J., Hasan, M. A. M., & Rahim, M. A. (2022) · Applied Sciences · doi:10.3390/app12083933 · Cited by 85 · see citing works
Skin Disease detection based on different Segmentation Techniques
Roy, K., Chaudhuri, S. S., Ghosh, S., Dutta, S. K., Chakraborty, P., & Sarkar, R. (2019) · International Conference on Opto-Electronics and Applied Optics (Optronix) · doi:10.1109/optronix.2019.8862403 · Cited by 84 · see citing works
Ansar, H., Jalal, A., Gochoo, M., & Kim, K. (2021) · Sustainability · doi:10.3390/su13052961 · Cited by 75 · see citing works
A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
Rusia, M. K., & Singh, D. K. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-13248-6 · Cited by 74 · see citing works
Chang, V. I. C., Eniola, R. O., Golightly, L., & Xu, Q. A. (2023) · SN Computer Science · doi:10.1007/s42979-023-01751-y · Cited by 67 · see citing works
Wu, C., Chen, J., He, K., Zhao, Z., Du, R., & Zhang, C. (2022) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/3548606.3560553 · Cited by 66 · see citing works
Groh, M., Harris, C., Daneshjou, R., Badri, O., & Koochek, A. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555634 · Cited by 66 · see citing works
MagicHand: Interact with IoT Devices in Augmented Reality Environment
Sun, Y., Armengol-Urpi, A., Kantareddy, S. N. R., Siegel, J. E., & Sarma, S. E. (2019) · IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · doi:10.1109/vr.2019.8798053 · Cited by 53 · see citing works
Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning
Miah, A. S. M., Shin, J., Hasan, M. A. M., Rahim, M. A., & Okuyama, Y. (2022) · Computer Systems Science and Engineering · doi:10.32604/csse.2023.029336 · Cited by 52 · see citing works
Leaf and skin disease detection using image processing
Badiger, M., Kumara, V., Shetty, S. C. N., & Poojary, S. (2022) · Global Transitions Proceedings · doi:10.1016/j.gltp.2022.03.010 · Cited by 48 · see citing works
Skin lesion detection based on deep neural networks
Choudhary, P., Singhai, J., & Yadav, J. S. (2022) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2022.104659 · Cited by 40 · see citing works
ScoreNet: deep cascade score level fusion for unconstrained ear recognition
Kaçar, Ü., & Kırcı, M. (2018) · IET Biometrics · doi:10.1049/iet-bmt.2018.5065 · Cited by 39 · see citing works
ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing
Susladkar, O., Deshmukh, G., Nag, S., Mantravadi, A., Makwana, D., Ravichandran, S., Sai Chandra Teja, R., Chavhan, G. H., Mohan, C. K., & Mittal, S. (2022) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2022.102736 · Cited by 33 · see citing works
Real-Time Jaundice Detection in Neonates Based on Machine Learning Models
Abdulrazzak, A. Y., Mohammed, S. L., Al‐Naji, A., & Chahl, J. (2024) · BioMedInformatics · doi:10.3390/biomedinformatics4010034 · Cited by 28 · see citing works
Sun, M., Liang, K., Zhang, W., Chang, Q. H., & Zhou, X. (2020) · IEEE Access · doi:10.1109/access.2020.2967350 · Cited by 27 · see citing works
Unconstrained Fingerphoto Database
Chopra, S., Malhotra, A., Mayank Vatsa, A., & Singh, R. (2018) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00093 · Cited by 25 · see citing works
A Comparison of Skin Detection Algorithms for Hand Gesture Recognition
McBride, T. J., Vandayar, N., & Nixon, K. J. (2019) · Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) · doi:10.1109/robomech.2019.8704839 · Cited by 24 · see citing works
Assistive Sign Language Converter for Deaf and Dumb
Boppana, L., Ahamed, R., Rane, H., & Kodali, R. K. (2019) · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) · doi:10.1109/ithings/greencom/cpscom/smartdata.2019.00071 · Cited by 24 · see citing works
Neonatal Jaundice Detection Using a Computer Vision System
Hashim, W., Al‐Naji, A., Al-Rayahi, I., Alkhaled, M., & Chahl, J. (2021) · Designs · doi:10.3390/designs5040063 · Cited by 23 · see citing works
Segmentation Approaches for Diabetic Foot Disorders
Arteaga-Marrero, N., Hernández-Guedes, A., Villa, E., González‐Pérez, S., Luque, C., & Ruiz‐Alzola, J. (2021) · Sensors · doi:10.3390/s21030934 · Cited by 23 · see citing works
Taşpınar, Y. S., Köklü, M., & Altin, M. (2021) · International Journal of Intelligent Systems and Applications in Engineering · doi:10.18201/ijisae.2021473636 · Cited by 22 · see citing works
Color Models for Skin Lesion Classification from Dermatoscopic Images
Mporas, I., Perikos, I., & Paraskevas, M. (2020) · Smart innovation, systems and technologies · doi:10.1007/978-981-15-1918-5_5 · Cited by 22 · see citing works
Barodi, A., Bajit, A., Harrouti, T. E., Tamtaoui, A., & Benbrahim, M. (2021) · Advances in Science Technology and Engineering Systems Journal · doi:10.25046/aj060173 · Cited by 19 · see citing works
Arak, H., Torshizi, M. A. K., Hedayati, M., & Rahimi, S. (2019) · Toxicon · doi:10.1016/j.toxicon.2019.05.005 · Cited by 19 · see citing works
Cho, D., Kim, J., Lee, K. J., & Kim, S. (2021) · IEEE Access · doi:10.1109/access.2021.3106046 · Cited by 19 · see citing works
Computerised prediction of healing for venous leg ulcers
Ngo, Q. C., Ogrin, R., & Kumar, D. (2022) · Scientific Reports · doi:10.1038/s41598-022-20835-y · Cited by 18 · see citing works
GFIE: A Dataset and Baseline for Gaze-Following from 2D to 3D in Indoor Environments
Hu, Z., Yang, Y., Zhai, X., Yang, D., Zhou, B., & Liu, J. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.00860 · Cited by 18 · see citing works
Color-space analytics for damage detection in 3D point clouds
Dargahi, M. M., Khaloo, A., & Lattanzi, D. (2021) · Structure and Infrastructure Engineering · doi:10.1080/15732479.2021.1875488 · Cited by 17 · see citing works
Deep spherical harmonics light probe estimator for mixed reality games
Marques, B. A. D., Clua, E., & Vasconcelos, C. N. (2018) · Computers & Graphics · doi:10.1016/j.cag.2018.09.003 · Cited by 17 · see citing works
Color Invariant Skin Segmentation
Han, X., Sarkar, A., & Abbott, A. L. (2022) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw56347.2022.00328 · Cited by 16 · see citing works
Chen, Y., Shen, J., & Sawada, H. (2023) · Intelligence & Robotics · doi:10.20517/ir.2023.24 · Cited by 15 · see citing works
Hand Gesture Recognition System for Touch-Less Car Interface Using Multiclass Support Vector Machine
Tarvekar, M. P. (2018) · International Conference on Intelligent Computing and Control Systems (ICICCS) · doi:10.1109/iccons.2018.8663003 · Cited by 15 · see citing works
Chyad, M. A., Alsattar, H. A., Zaidan, B. B., Zaidan, A. A., & Shafeey, G. A. A. (2019) · IEEE Access · doi:10.1109/access.2019.2924989 · Cited by 15 · see citing works
Evaluating and Enhancing the Performance of Skin Disease Classification Based on Ensemble Methods
Pal, M., & Roy, B. R. (2020) · International Conference on Advanced Information and Communication Technology (ICAICT) · doi:10.1109/icaict51780.2020.9333529 · Cited by 15 · see citing works
Lu, Y., Le, V. L., & Kim, T. T.-H. (2022) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2022.3179601 · Cited by 15 · see citing works
Ham, Y., Yang, D., Choi, Y., & Shin, J. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.994586 · Cited by 15 · see citing works
Study on Face Recognition Techniques
Sahu, M., & Dash, R. (2020) · doi:10.1109/iccsp48568.2020.9182358 · Cited by 14 · see citing works
A Study of User Interface with Wearable Devices Based on Computer Vision
Hsu, F.-R., Kuo, Y.-H., Wei, S.-Y., Hsieh, Y.-H., & Nguyen, D. C. (2019) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2019.2941463 · Cited by 14 · see citing works
Reda, M. M., Mohammed, N. G., & Seoud, R. A. A. A. A. (2018) · International Conference on Computer Applications & Information Security (ICCAIS) · doi:10.1109/cais.2018.8441985 · Cited by 13 · see citing works
Alzeyadi, M. K. K., Der, C. S., & Chen, C. P. (2025) · Engineering Research Express · doi:10.1088/2631-8695/ada72d · Cited by 12 · see citing works
Real-Time FPGA Implementation of Connected Component Labelling for a 4K Video Stream
Ciarach, P., Kowalczyk, M., Przewłocka-Rus, D., & Kryjak, T. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-17227-5_13 · Cited by 12 · see citing works
Feature Extraction and Feature Selection for Emotion Recognition using Facial Expression
Choudhary, D., & Shukla, J. (2020) · IEEE International Conference on Multimedia Big Data · doi:10.1109/bigmm50055.2020.00027 · Cited by 12 · see citing works
Camera-based heart rate estimation for hospitalized newborns in the presence of motion artifacts
Chen, Q., Wang, Y., Liu, X., Long, X., Yin, B., Chen, C., & Chen, W. (2021) · BioMedical Engineering OnLine · doi:10.1186/s12938-021-00958-5 · Cited by 12 · see citing works
Wu, C., He, K., Chen, J., Du, R., Yan, R., & Zhao, Z. (2025) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2025.3564408 · Cited by 11 · see citing works
Yu, H. W., Lee, D., Lee, K., Kim, S., Chai, Y. J., Kim, H. C., Choi, J. Y., & Lee, K. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-97919-8 · Cited by 10 · see citing works
Weighted average pooling of deep features for tattoo identification
Nicolás-Díaz, M., Morales-González, A., & Méndez-Vázquez, H. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-022-12516-9 · Cited by 10 · see citing works
Wafer particle inspection technique using computer vision based on a color space transform model
Chun, H., Wang, J., Kim, J., & Lee, C. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-11888-y · Cited by 10 · see citing works
Park, K., & Kim, Y.-H. (2018) · JOURNAL OF ADVANCED INFORMATION TECHNOLOGY AND CONVERGENCE · doi:10.14801/jaitc.2018.8.2.47 · Cited by 10 · see citing works
Image Segmentation for Skin Detection
Mohammed, S. G., Majeed, A.-R. H., Aldujaili, A. A., Hassan, E. K., & Abdul-Jabbar, S. S. (2020) · Journal of Southwest Jiaotong University · doi:10.35741/issn.0258-2724.55.1.17 · Cited by 10 · see citing works
Smart training: Mask R-CNN oriented approach
Su, M., Chen, J., Azzizi, V. T., Chang, H.-L., & Wei, H.-H. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115595 · Cited by 10 · see citing works
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
Shrestha, R., Zou, Y., Chen, Q., Li, Z., Xie, Y., & Deng, S. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.01140 · Cited by 9 · see citing works
Robotic System for Blood Serum Aliquoting Based on a Neural Network Model of Machine Vision
Khalapyan, S. Y., Rybak, L. A., Nebolsin, V., Malyshev, D. I., Nozdracheva, A., Семененко, Т. А., & Gavrilov, D. (2023) · Machines · doi:10.3390/machines11030349 · Cited by 9 · see citing works
Computer-Aid System for Automated Jaundice Detection
Abdulrazzak, A. Y., Mohammed, S. L., Al‐Naji, A., & Chahl, J. (2023) · Journal of Techniques · doi:10.51173/jt.v5i1.1128 · Cited by 9 · see citing works
Babalola, F. O., Toygar, Ö., & Bitirim, Y. (2023) · Signal Image and Video Processing · doi:10.1007/s11760-023-02671-3 · Cited by 9 · see citing works
Pengenalan Motif Songket Palembang Menggunakan Deteksi Tepi Canny, PCA dan KNN
Hasan, M. A., & Liliana, D. Y. (2020) · MULTINETICS · doi:10.32722/multinetics.v6i1.2700 · Cited by 9 · see citing works
Kurniastuti, I., Wulan, T. D., & Andini, A. (2021) · International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) · doi:10.1109/icomitee53461.2021.9650161 · Cited by 9 · see citing works
RealisticHands: A Hybrid Model for 3D Hand Reconstruction
Seeber, M., Poranne, R., Polleyfeys, M., & Oswald, M. R. (2021) · International Conference on 3D Vision (3DV) · doi:10.1109/3dv53792.2021.00013 · Cited by 9 · see citing works
Survey paper based critical reviews for Cosmetic Skin Diseases
Borade, S., & Kalbande, D. R. (2021) · International Conference on Artificial Intelligence and Smart Energy (ICAIS) · doi:10.1109/icais50930.2021.9395803 · Cited by 9 · see citing works
Self-citationDevelopment of Air Conditioner Robot Prototype That Follows Humans in Outdoor Applications
Chaari, M. Z., Abdelfatah, M., Loreno, C., & Al-Rahimi, R. (2021) · Electronics · doi:10.3390/electronics10141700 · Cited by 9 · see citing works
Boxing Punch Detection with Single Static Camera
Stefański, P., Jach, T., & Kozak, J. (2024) · Entropy · doi:10.3390/e26080617 · Cited by 8 · see citing works
Expanding Side Touch Input on Mobile Phones
Yeh, Y.-T., Roy, Q., Irudayaraj, A. A. R., & Vogel, D. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3427334 · Cited by 8 · see citing works
Effects of Individual Vehicle Differences on Advanced Driver-Assist System Takeover Alert Behavior
Bauchwitz, B., & Cummings, M. L. (2022) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981211068362 · Cited by 8 · see citing works
An Active Image Forgery Detection Approach Based on Edge Detection
MACİT, H. B., & Koyun, A. (2023) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.036216 · Cited by 8 · see citing works
A novel key-frame selection-based sign language recognition framework for the video data
Mangla, F. U., Bashir, A., Lali, I. U., Bukhari, A. C., & Shahzad, B. (2020) · The Imaging Science Journal · doi:10.1080/13682199.2020.1771512 · Cited by 8 · see citing works
Multi-audience tracking with RGB-D camera on digital signage
Low, C.-C., Ong, L.-Y., Koo, V. C., & Leow, M.-C. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05107 · Cited by 8 · see citing works
Spying through Virtual Backgrounds of Video Calls
Hilgefort, J. M., Arp, D., & Rieck, K. (2021) · ACM Workshop on Artificial Intelligence and Security (AISec) · doi:10.1145/3474369.3486870 · Cited by 8 · see citing works
Deep Leaning Based Static Indian-Gujarati Sign Language Gesture Recognition
Patel, D. U., & Joshi, J. M. (2022) · SN Computer Science · doi:10.1007/s42979-022-01254-2 · Cited by 8 · see citing works
Skin-Tone and Occasion Oriented Outfit Recommendation SystemPreprint
Garude, D., Khopkar, A., Dhake, M., Laghane, S., & Maktum, T. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3368058 · Cited by 8 · see citing works
Effective Acne Detection using Component Image a* of CIE L*a*b* Color Space
Park, K.-H., & Noh, H. (2018) · Journal of Digital Contents Society · doi:10.9728/dcs.2018.19.7.1397 · Cited by 7 · see citing works
Human Skin Color Detection Technique Using Different Color Models
Khanam, R., Johri, P., & Diván, M. J. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-75945-2_14 · Cited by 7 · see citing works
Skin color classification of Koreans using clustering
Kye, S., & Lee, O. (2022) · Skin Research and Technology · doi:10.1111/srt.13201 · Cited by 7 · see citing works
Gaffoor, N., & Soomro, S. (2023) · IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) · doi:10.1109/iotais60147.2023.10346059 · Cited by 7 · see citing works
Angelopoulou, A., García‐Rodríguez, J., Orts‐Escolano, S., Kapetanios, E., Liang, X. Z., Woll, B., & Ψαρρού, Α. (2019) · Pattern Analysis and Applications · doi:10.1007/s10044-019-00819-x · Cited by 7 · see citing works
A Comparative Study of Tools for Explicit Content Detection in Images
Dubettier, A., Gernot, T., Giguet, E., & Rosenberger, C. (2023) · 2023 International Conference on Cyberworlds (CW) · doi:10.1109/cw58918.2023.00077 · Cited by 5 · see citing works
“To handle this, authors in [13] propose a combination of different color space models to try to activate the most appropriate model depending on the context.”
BackgroundA 3D Approach for the Virtual Commissioning of Processing Plants
Striffler, N., & Voigt, T. (2025) · IEEE Access · doi:10.1109/access.2025.3536088 · Cited by 6 · see citing works
Automated Melanoma Types and Stages Classification for dermoscopy images
Parmar, B., & Talati, B. J. (2019) · Innovations in Power and Advanced Computing Technologies (i-PACT) · doi:10.1109/i-pact44901.2019.8960137 · Cited by 6 · see citing works
Simple Hybrid Camera-Based System Using Two Views for Three-Dimensional Body Measurements
Montazerian, M., & Leymarie, F. F. (2023) · Symmetry · doi:10.3390/sym16010049 · Cited by 6 · see citing works
Human Skin Colour Detection Using Bayesian Rough Decision Tree
Abbas, A. R., & Farooq, A. O. (2018) · Communications in computer and information science · doi:10.1007/978-3-030-01653-1_15 · Cited by 6 · see citing works
Adimas, D. M., Rakun, E., & Hardianto, D. (2019) · Intelligent Autonomous Systems · doi:10.1109/icoias.2019.00011 · Cited by 6 · see citing works
Introduction to Image Color Feature
Chaki, J., & Dey, N. (2020) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-981-15-5761-3_1 · Cited by 6 · see citing works
Infants scan static and dynamic facial expressions differently
Prunty, J. E., Keemink, J. R., & Kelly, D. J. (2021) · Infancy · doi:10.1111/infa.12426 · Cited by 6 · see citing works
An Intelligent HealthCare Monitoring Framework for Daily Assistant Living
Ghadi, Y. Y., Khalid, N., Alsuhibany, S. A., Shloul, T. A., Jalal, A., & Park, J. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.024422 · Cited by 7 · see citing works
LGF-SLR: Hand Local–Global Fusion Network for Skeleton-Based Sign Language Recognition
Gao, Q. H., Zhang, M., & Ju, Z. (2025) · IEEE Sensors Journal · doi:10.1109/jsen.2025.3527198 · Cited by 5 · see citing works
Roa, C., Pedersen, G., Bollinger, M., Taylor, J. C., & Boswell, K. M. (2022) · The Journal of the Acoustical Society of America · doi:10.1121/10.0012192 · Cited by 5 · see citing works
User Authentication via Finger-Selfies
Malhotra, A., Chopra, S., Mayank Vatsa, A., & Singh, R. (2019) · Advances in computer vision and pattern recognition · doi:10.1007/978-3-030-26972-2_2 · Cited by 5 · see citing works
Detection of Jaundice in Neonates Using Artificial Intelligence
Nihila, S., Rajalakshmi, T., Panda, S. S., Lhazay, N., & Giri, G. D. (2021) · Advances in intelligent systems and computing · doi:10.1007/978-981-16-1696-9_41 · Cited by 5 · see citing works
PKT: fast color-based spatial model for human skin detection
Samson, G. L., & Lu, J. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-10955-4 · Cited by 5 · see citing works
Experimental Study on Multiple Face Detection with Depth and Skin Color
Low, C.-C., Ong, L.-Y., & Koo, V. C. (2019) · IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) · doi:10.1109/iscaie.2019.8743890 · Cited by 5 · see citing works
Abbas, A. H., Mirza, N. M., Qassir, S. A., & Abbas, L. H. (2020) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/745/1/012048 · Cited by 5 · see citing works
Park, S., Kim, J. H., Chang, J. H., Park, J. M., Choi, C. H., & Kim, J.-I. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264925 · Cited by 5 · see citing works
Listya, F. A., & Rokhman, N. (2019) · IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · doi:10.22146/ijccs.47906 · Cited by 4 · see citing works
Image Analytics to Detect Cigarette in an Image Using Deep Learning
Kharade, A., Abhishek, K., Dwibedi, D., Mehta, S., Meruga, H., Gangula, P., Narayana, D. S., & Borse, R. P. (2021) · Lecture notes in electrical engineering · doi:10.1007/978-981-15-8391-9_48 · Cited by 4 · see citing works
Classification Of Tomato Maturity Levels Based on RGB And HSV Colors Using KNN Algorithm
Ningsih, L., & Cholidhazia, P. (2022) · RIGGS Journal of Artificial Intelligence and Digital Business · doi:10.31004/riggs.v1i1.10 · Cited by 4 · see citing works
Lee, C.-M., Jung, B.-G., & Choi, J.-H. (2023) · Journal of Marine Science and Engineering · doi:10.3390/jmse11101993 · Cited by 4 · see citing works
A Hybrid HSV and YCrCb OpenCV-based Skin Tone Recognition Mechanism for Makeup Recommender Systems
Kamble, S., Muntean, C. H., & Simiscuka, A. A. (2024) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc61514.2024.10592313 · Cited by 4 · see citing works
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review