Research Article

Stealth Ships Detection by using Laplacian of Gaussion Algorithm

by  Sagar Shankarrao Dake
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Issue 10
Published: December 2014
Authors: Sagar Shankarrao Dake
10.5120/18786-0119
PDF

Sagar Shankarrao Dake . Stealth Ships Detection by using Laplacian of Gaussion Algorithm. International Journal of Computer Applications. 107, 10 (December 2014), 14-17. DOI=10.5120/18786-0119

                        @article{ 10.5120/18786-0119,
                        author  = { Sagar Shankarrao Dake },
                        title   = { Stealth Ships Detection by using Laplacian of Gaussion Algorithm },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 107 },
                        number  = { 10 },
                        pages   = { 14-17 },
                        doi     = { 10.5120/18786-0119 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2014
                        %A Sagar Shankarrao Dake
                        %T Stealth Ships Detection by using Laplacian of Gaussion Algorithm%T 
                        %J International Journal of Computer Applications
                        %V 107
                        %N 10
                        %P 14-17
                        %R 10.5120/18786-0119
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

In last few years, the stealth technology are designed to avoid detection using a variety of advanced technologies that reduce reflection/emission of radar, infrared, visible light, radio-frequency (RF) spectrum, and audio, collectively known as stealth technology. In this paper, the stealth technology ships will be easily detected by Laplacian of Gaussian algorithm.

References
  • Zrínyi Miklós National Defence University, Electronic Warfare Department, Budapest, Hungary "Stealth technology deployed on the battlefield".
  • Pravesh Kumar Goel, Paresh P. Kotak, Amit Gupt "Method of Moving Region Detection for Static Camera".
  • Dhananjay Patel, Alina Menoth Jose, Nigel Mascarenhas "JPEG Image Compression using DCT and DHT and Comparison of Both Techniques based on Mean Square Error and Peak Signal to Noise Ratio".
  • Olivier MONGA, Rachid DERICHE, Gregoire MALANDAIN, Jean Pierre COCQUEREZ "3D edge detection by separable recursive filtering and edge closing".
  • Dongming Zhang, Advanced Computing Research Lab. , Beijing Key Laboratory of Mobile, Computing and Pervasive Device, Institute of Computing Technology, Beijing,China, Gang Cao, National Application Software, Testing Labs, Beijing,China, Xiaoguang Gu, Advanced Computing Research Lab, Beijing Key Laboratory of Mobile, Computing and Pervasive Device, Institute of Computing Technology, Chinese Academy of Science, Beijing,China, "Improved Motion Estimation Based on Motion Region Identification" 2012
  • Sunil Kumar Pattanaik' and K. K. Mahapatra Department of Electronics and Communication Engineering, NIT Rourkela, India "DHT Based JPEG Image Compression Using a Novel Energy Quantization Method".
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

DCT DHT Sobel operator 3D edge detector.

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