Implementation of NOGIE and NOWGIE for Human Skin Detection
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 7
Abstract
The Digital image processing is one of the most widely implemented fields worldwide. The most applied applications of digital image processing are facial recognition, finger print recognition, medical imaging, law enforcement, cyber-crime investigation, identification of various diseases and criminals, etc. The subject to be discussed in this article is skin detection. Skin detection has solved many serious problems related to digital image process. It is one of the main features in making an intelligent image processing system. The proposed methodology conducts an improved and well enhanced skin detection, the skin and non-skin parts are divided from an input image or video, noise is removed, HSV is applied which also acts as a color model that generates more better results in accordance to RGB or YCbCr for skin and face identification. The algorithms, NOGIE (Noise Object Global Image Enhancement) and NOWGIE (Noise Object with Global Image Enhancement) are applied separately on the input and the results can be compared for better perception and understanding of the applied skin detection techniques, the skin parts are highlighted as “White” while the Non-skin parts are highlighted as “Black”. The results are different NOWGIE gives better results than the NOGIE due to the image enhancement technique. This methodology is subjected to be implemented in special security drones for the identification of suspects, terrorists and spy’s the algorithms provides the ability to detect humans from a non-skin background making an autonomous and excellent security system.
Authors and Affiliations
M. Omer Aftab, Junaid Javed, M. Bilal, Arfa Hassan, M. Adnan Khan
Keywords
Related Articles
- EP ID EP358309
- DOI 10.14569/IJACSA.2018.090719
- Views 72
- Downloads 0
An Emergency System for Succoring Children using Mobile GIS
The large numbers of sick children in different diseases are very dreaded, and when there isn't succor at the proper time and in the type the sick child need it that makes us lose child. This paper suggested an emergency...
Automatic Cloud Resource Scaling Algorithm based on Long Short-Term Memory Recurrent Neural Network
Scalability is an important characteristic of cloud computing. With scalability, cost is minimized by provisioning and releasing resources according to demand. Most of current Infrastructure as a Service (IaaS) providers...
Sentiment Classification of Twitter Data Belonging to Saudi Arabian Telecommunication Companies
Twitter has attracted the attention of many re-searchers owing to the fact that every tweet is, by default, public in nature which is not the case with Facebook. In this paper, we present sentiment analysis of tweets wri...
Frequency Reconfigurable Vivaldi Antenna with Switched Resonators for Wireless Applications
In this paper, a frequency reconfigurable Vivaldi antenna with switched slot ring resonators is presented. The principle of the method to reconfigure the Vivaldi antenna is based on the perturbation of the surface curren...
Revised Use Case Point (Re-UCP) Model for Software Effort Estimation
At present the most challenging issue that the software development industry encounters is less efficient management of software development budget projections. This problem has put the modern day software development co...