DETECTION OF OIL SPILL BY COMPARING MARKOV RANDOM FIELD, ADAPTIVE THRESHOLDING & MORPHOLOGICAL CLOSING TECHNIQUES
| Author(s) | : | Mukta Jagdish, Jerritta.S |
| Institution | : | Research Scholar, Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science Technology &Advanced Studies (VISTAS), Vels University, Chennai, TN, India |
| Published In | : | Vol. 5, Issue 2 — February 2018 |
| Page No. | : | 807-812 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This research perform detection of oil spill by comparing Markov random field, adaptive thresholding &morphological closing techniques which results in less time consuming, oil spill tracking, oil spill area, dark patches andspill patterns. This work helps to regular monitoring of oil in the ocean. This approach helps to find out which algorithm isbest suited for detection of oil spill and tracking. This work is carried out using ASAR RADARSAT-2 image. In this researchthree images was captured and monitored for oil spill detection. These images belong to different days, angles andpolarization. By comparing these algorithms it results morphological closing techniques is best suited for analysing oil spillin ASAR images.
Mukta Jagdish, Jerritta.S, “DETECTION OF OIL SPILL BY COMPARING MARKOV RANDOM FIELD, ADAPTIVE THRESHOLDING & MORPHOLOGICAL CLOSING TECHNIQUES”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 807-812, February 2018.
