Oil Spill and Debris Detection using Image Processing
Parth Praveen Deokar1, Shaswata Rout2, Debarati Datta3, S. Sivapriya4
1Parth Praveen Deokar, B. Tech. Student, Department of Computer science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
2Shaswata Rout, B. Tech. Student, Department of Computer science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
3Debarati Datta, B. Tech. Student, Department of Computer science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
4S. Sivapriya, B. Tech. Student, Department of Computer science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 394-397 | Volume-8 Issue-5, June 2019 | Retrieval Number: D6262048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Marine life is a huge ecosystem that faces many threats, the biggest one being pollution. And one of the major contamination sources are oil spills. Oil spills can be devastating, especially when a large area of the ocean/sea is covered with it. Oil that gets leaked into the ocean pollutes the water and prevents algae from getting sunlight and fish from getting the oxygen trapped in water. The oil also gets trapped in the wings of birds that prey on the fish, making it difficult for them to fly. In short, oil can pose a great threat to ocean life if not taken care of. Here, a quick detection software can help in alerting about the spread of a potentially harmful oil spill and hence reduce its effect on the ocean. Image processing is a rapidly growing technology, which has applications in computer vision as well as remote sensing. We aim to broaden its range of application in controlling global pollution by industrial wastes.
Keywords: SAR Image, Image Segmentation, Sobel Edge Detection, Canny Edge Detection, Dilation, Erosion.
Scope of the Article: Image Processing