HISTOGRAM BASED SEGMENTATION TECHNIQUE USED FOR OIL SPILL DETECTIONS

Authors

  • Mukta Jagdish Research Scholar, Department of Computer Science and Engineering, School of Engineering, Vels Institute of Science Technology &Advanced Studies (VISTAS), Vels University, Chennai, TN, India
  • Dr. Jerritta.S Research Supervisor, Associate Professor (Electronics and Communication Engineering), School of Engineering, Vels Institute of Science Technology &Advanced Studies (VISTAS), Vels University, Chennai, TN, India.

Keywords:

histogram based method, Oil spill, pattern, ASAR images

Abstract

In this paper, Histogram based segmentation technique used for oil spill detection. Histogram based analysis
required one pass through pixel in satellite image. Histogram is computed according to all pixel and help to locate cluster in
images. To measure image it can considered intensity and colour for input data. It helps in multiple frame adaptations in
satellite image. As we know oil spill is a biggest issue in marine environment which effect marine life cycle. In this research,
results in less time consuming, oil spill tracking, oil spill area, dark patches and spill patterns. This work helps to regular
day to day monitoring and detection of oil spill in the ocean. This work is carried out using ASAR RADARSAT-2 image,
which is capture from Gulf of Mexico region.

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Published

2018-03-25

How to Cite

Mukta Jagdish, & Dr. Jerritta.S. (2018). HISTOGRAM BASED SEGMENTATION TECHNIQUE USED FOR OIL SPILL DETECTIONS. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 590–593. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/2726

Issue

Vol. 5 No. 3 (2018): Volume 5 Issue 3 March 2018

Section

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