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Appraise of Various Colour Spaces for Skin Detection based Background Removal from Hand Sign Images
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 177 - Number 2 |
| Year of Publication: 2017 |
| Authors: Sudeep D. Thepade, Nilima Phatak, and Deepali Naglot, Aishwarya Chandrasekaran, Mugdha Joshi |
10.5120/ijca2017915672
|
Sudeep D. Thepade, Nilima Phatak, and Deepali Naglot, Aishwarya Chandrasekaran, Mugdha Joshi . Appraise of Various Colour Spaces for Skin Detection based Background Removal from Hand Sign Images. International Journal of Computer Applications. 177, 2 ( Nov 2017), 12-17. DOI=10.5120/ijca2017915672
Abstract
Sign language is the basic medium of communication for the deaf and dumb people. It is a language which uses manual communication and body language to convey meaning. This can involve combining hand shapes, orientation and movement of hands. Communication may be the biggest challenge for the deaf and dumb in order to receive and convey information, ideas and feelings. Thus, in order to bridge the gap between them and the others, it becomes necessary to build a communicator and translator to translate American Sign Language to Indian and vice versa. In addition to this, the American and Indian sign language is also converted to text and back. During this translation, in order to ensure efficient skin detection and further processing of image, the paper focuses on obtaining appropriate results on Indian sign images based on background removal algorithms. This paper presents the comparison among various color spaces for skin detection based on background removal from hand sign images. The color space is a useful way to specify and conceptualize the color capabilities of a particular digital file or an image. The proposed techniques on colour spaces are executed on a dataset of 78 images. In order to analyze the results of the image based on various color spaces, this study of comparison among them is needed. It elaborates mainly on four color models : RGB, YCbCr, HSV, NTSC. This paper analyses the results of the above color spaces.
References
- Dr. Sudeep D. Thepade, Arati Narkhede Priti Kelvekar “Novel Technique for Background Removal from Sign Images for Sign Language Recognition System” International Journal of Computer Applications, (0975 – 8887) Volume 78 – No.10, September 2013.
- Dr.Sudeep.D.Thepade, Ms.Arati Narkhede, Ms.Priti Kelvekar, Ms.Gandhali Kulkarni and Ms.Seema Tathe, “ Sign Language Recognition using Color Means of Gradient Slope Magnitude Edge Images” published at International Conference on Intelligent Systems and Signal Processing (ISSP2013), 978-81-909376-6-5 2013IEEE.
- Rehanullah Khan , Zeeshan Khan , Muhammad Aamir , Syed Qasim Sattar, Sarhad University of Science and Information Technology,Peshawar,”Static Filtered Skin Detection” published at, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 2, No 3, March 2012 ISSN (Online):1694-0814.
- Ms.Prajakta M.Patil Prof.Y.M.Patil Assistant Professor of E and TC ,Engineering, Professor of Electronics Engineering, ADCET, Ashta, India KIT,Kolhapur, India, “Robust Skin Colour Detection And Tracking Algorithm” published at International Journal of Engineering Research and Technology (IJERT) Vol. 1 Issue 8, October 2012.
- http://lifeprint.com/as1101/topics/wallpaper1.html
- www.pics4.this-pic.com
- Dr. H B Kekre, Sudeep D Thepade and Adib Parkar.Article:Storage of Colour Information in a Greyscale Image using Haar Wavelets and Various Colour Spaces.International Journal of Computer Applications 6(7):18–24, September 2010. Published By Foundation of Computer Science.
- H. B. Kekre, Sudeep D. Thepade”Color Based Image Retrieval using Amendment of Block Truncation Coding with YCbCr Color Space” at International Journal of Imaging(ISSN-0974-0627).
- Nishu, Sunil Agarwal, “Quantifying the Defect Visibility in Digital Images by Proper Color Space Selection” at International Journal of Engineering Research and Applications Vol. 2, Issue 3, May-Jun 2012, pp.1764-1767.
- HB Kekre, Sudeep D Thepade, “Image Retrieval using augmented block truncation coding technique” at Proceedings of the International Conference on Advances in Computing, Communication and Control.
- HB Kekre, Sudeep D Thepade, Varun K Banura, “Amelioration of Walsh-Hadamard Texture Patterns based Image Retrieval using HSV Color Space” at International Journal of Computer Science and Information Security.
- V.K. Banura H.B.Kekre, Dr. Sudeep D.Thepade, Dr. T.Sarode, “Performance Comparison of Image Retrieval using KFCG with Assorted Pixel Window Sizes in RGB and LUV Color Spaces” at International Journal of Electronics and Communication Technologies.
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