SIMULATING UNDERWATER DEPTH ENVIRONMENT CONDITION USING LIGHTING SYSTEM DESIGN
DOI:
https://doi.org/10.11113/jt.v74.4812Keywords:
Lighting system, multi-depth, underwater environment conditionAbstract
The major obstacle faced by the underwater environment system is the extreme loss of color and contrast when submerged to any significant depth whereby the image quality produced is low. The studies can be easily done by developing the prototype that may imitate the underwater environment. In order to develop the prototype, suitable lighting system are used where it act as an imitator for underwater environment with different depth. Next the color option that use for the imitator prototype should be suitable for underwater lighting system. By using both suitable lighting system and color option for the system, this prototype might be able to produce image that can be comparable with the actual environment. The water tank is the best choice as the medium for imitating and it’s attached with the red curtain in order to create the environment without any unwanted lighting source. The underwater flood light is use for the lighting system and creates the scenery of the lighting underwater environment. The brightness of the light can be adjustable by adjusting the input voltage. In order to capture and record the image of the imitated underwater, the underwater camera and recordable receiver display is used. Lastly, since the underwater environment has noise the automatic pump is applied to create the ambient noise. The result shows that the appropriate combination of color and the brightness based on different depth it may produce the precise hue and saturation with the actual environment system. Â
References
Karthiga R. and Ashokraj. M. 2011. Illuminance Estimation in Underwater using Color Constancy. CARE Journal of Applied Research. 25-29.
Garcia, R. Nicosevici, T. and CufÃ. X. 2002. On the Way to Solve Lighting Problems in Underwater Imaging. Proceedings of Computer Vision and Robotic Group. 1018-1024.
Yamashita, A. Fujii, M. and Kaneko, T. 2007. Color Registration of Underwater Images for Underwater Sensing With Consideration of Light Attenuation. Presented in Robotic and Automation. Roma, Italy.
Barngrover, C. 2010. Computer Vision Techniques for Underwater Navigation. M.S. thesis. University of California, San Diego.
Shahrieel, M. Nadhirah, A. Farriz, M. 2009. Vision System for Autonomous Underwater Vehicle using Wireless Camera for Monitoring and Surveillances Application. Defence and Security Technology Conference. 1-5.
Syed Mohamad Shazali bin Syed Abdul Hamid, M. Shahrieel M. Aras, Fara Ashikin binti Ali, Anuar bin Mohamed Kassim, Fadilah binti Abdul Azis. 2011. Development of Image Recognition Algorithm for Underwater Vehicle Applications. International Seminar on the Application of Science & Mathematics. 1-7.
Syed Mohamad Shazali Bin Syed Abdul Hamid, Mohd Shahrieel Mohd Aras, Fadilah Binti Abdul Azis. 2012. Development of Image Recognition Algorithm for Deep Submergence Vehicle Applications. 4th International Conference on Underwater System Technology: Theory and Applications 2012 (USYS'12). 153-157.
Naval Sea Systems Command Department: Ambient Noise in the Sea. 1984. Undersea Warfare Technology Office of the NAVY. Washington dc.
Tkalich P. and Chan, E. S. 1998. On Mechanism of Wind-Wave. Proceedings of OCEANS '98 Conference. 3: 1378-1381.
Jang, T. K. Kim, E. J. Kim, D. K. Han, Y. S. Seo, Y. S. Cho, H. S. and Lee, B. S. 2010. Design of Intelligent Water Vision System. Proceedings of the 5th International Conference on Ubiquitous Information Technologies and Applications. 1-3.
Tiffen, I. Camera filters. Tiffen, Color-Grad, Softnet, Soft/FX, Decamired (DM), FL-D, FL-B, 812, Diffusion/FX, Pro-Mist and LL-D are registered trademarks of The Tiffen Company, LLC Hauppauge, NY 11788. [Acessed on 19 November 2013].
Tian, B. Zhang, F. and Tan, X. 2013. Design and Development of an LED-based Optical Communication System for Autonomous Underwater Robots. Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME International. 1558-1563.
Wu, H. Narendran, N. Gu, Y. and Bierman, A. 2007. Improving the Performance of Mixed-color White LED Systems by Using Scattered Photon Extraction Technique. Proceedings of the 7th International on Solid State Lighting.
Fraser, A. Walker, R. and Jurgens, F. 1980. Spatial and Temporal Correlation of Underwater Sunlight Fluctuations in the Sea. IEEE Journal on Oceanic Engineering. 5: 195-198.
Robert N. Rossier, What is Visibility. Illuminating Facts about an Unclear Situation. 2012. [Acessed on 24 December 2013].
Murray, J. W. 2004. Properties of Water and Seawater. University Washington. 1-32.
Lynne Talley, George Pickard, William Emery and James Swift. 2011. Physical Properties of Seawater. Proceeding of the 6th Descriptive Physical Oceanography. 23-26.
Gupta, M. Narasimhan, S. G. and Schechner, Y. Y. 2008. On Controlling Light Transport in Poor Visibility Environments. IEEE Conference on Computer Vision and Pattern Recognition. 1-8.
Ibrahim K. Msallam, Sea World. The Cement Freighter Wreck–Batroun. Available at: http://seaworldblog.wordpress.com/2013/08/ [accessed 9 March 2014].
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.
