The oil spills are one of the major pollutions in the marine environment which needs to monitor exactly. The satellite remote sensing especially the synthetic aperture radar (SAR) is the method used to check oil spills for wide area coverage. The edges of an image play an important role to detect the oil spill in water. The existing method has some drawbacks in terms of correctly extracting the oil spills from synthetic aperture radar (SAR) images, where speckle noise exists. Due to this heterogeneous background noise, the existing edge detection techniques, not able to detect the accurate edges of oil spills in water. This paper proposes an alternative method of an edge detection that first, pre-processes the oil spill SAR image and then acquires the threshold by gray value statistics. The oil can be separated from water by using the threshold that was attained. After the threshold segmentation, region growing method is applied in the segmented image and then the edge can be extracted completely by using the Canny edge detection to extract oil spill information more accurately. The perfect extraction of edges of oil spill gathers significant benefits, in terms of monitoring automatically for the risk management.

SAR, ENVISAT, RADARSAT-I, speckle noise

[1]. F. Yu, W. Sun, J. Li, Y. Zhao, Y. Zhang, G. Chen,” An improved Otsu method for oil spill detection from SAR images”, Oceanologia, Vol. 59, Issue.3, pp.311-317, 2017.
[2]. J. Chen, B. Guan, H. Wang, X. Zhang, Y. Tang, W. Hu, ”Image thresholding segmentation based on two dimensional histogram using gray level and local entropy information”, IEEE Access, Vol. 6, pp.5269-5275, 2017.
[3]. E. Niharika1, H. Adeeba, A.S.R Krishna, P.Yugander, ”K means based Noisy SAR Image Segmentation using Median Filtering and Otsu Method” ,IEEE, 2017 International Conference on IoT and Application, India, 2017.
[4]. A.S. Banu, P. Vasuki, S.M.M. Roomi, A.Y. Khan, “SAR Image Classification by Wavelet Transform and Euclidean Distance with Shanon Index Measurement”, IJSRNSC, Vol. 6, Issue.3, pp. 13-17, 2018.
[5]. S. Pahadiya, R. Khatri, “Compare Modify Canny Edge Detection Method with Existing Edge Detection Methods”, IJCSE, Vol.6, Issue. 2, pp. 337-340, 2018.
[6]. N. Ikonomakis, K.N. Plataniotis, M. Zervakis, A.N. Venetsanopoulos, “Region growing and region merging image segmentation”, IEEE, Proceedings of 13th International Conference on Digital Signal Processing, Greece, pp.299-302, 2002.
[7]. R.C. Gonzalez, R.E. Woods, S.L. Eddins, ”Digital Image Processing Using Matlab”, Pearson Publisher, U.S, pp.299-302, 2010.
[8]. J. Canny, “A computational approach to edge detection”, IEEE Transaction on Pattern Analysis And Machine Intelligence, VOL. 8, Issue. 6, 1987.
[9]. C. Deng, G. Wang, X. Yang, “Image Edge Detection Algorithm Based on Improved Canny Operator ”, Proceedings of the 2013 International Conference on Wavelet Analysis and Pattern Recognition, China, pp. 168-172, 2013.
[10]. C.H. He, X.F. Zhang, Y.C. Hu, “A Study on the Improved Algorithm for Sobel on Image Edge Detection”, Optical Technique, Vol. 38, Issue. 3, pp. 323-327, 2012.
[11]. W.B. Wei, “Study on Edge Detection Method. Computer Engineering & Applications”, Vol. 42, Issue. 30, pp. 88-91, 2006.
[12]. G. Hu, X. Xiao, “Edge Detection of Oil Spill Using SAR Image”, IEEE, 2013 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, China, pp.466-469, 2013.
[13]. N. Otsu, “Threshold Selection Method from Gray-Level Histograms”, IEEE Trans. on System, Man, and Cybernetics. Vol.9, Issue.1, pp.62- 66, 1979.
[14]. W. Li, M. He, S. Zhang, “A New Canny-Based Edge Detector for SAR Image”, IEEE, 2008 Congress on Image and Signal Processing, China, pp.211-215, 2008.
[15]. B. Wang, S. Fan, “An improved CANNY edge detection algorithm ”, IEEE, 2009 Second International Workshop on Computer Science and Engineering, China, pp.497-500, 2010.
[16]. X. Yu, J. Yla-Jaaski, “A new algorithm for image segmentation based on region growing and edge detection”, IEEE International Sympoisum on Circuits and Systems, Singapore, pp.516-519, 2002.
[17]. B.D. Setiawan, A.N. Rusydi, K. Pradityo, “Lake edge detection using Canny algorithm and Otsu thresholding”, IEEE, 2017 International Symposium on Geoinformatics (Icy), Indonesia, pp.72-76, 2017.
[18]. E. Schwinger, A.Z. Munthe-Kaas , “Comparative analysis of various thresholding techniques on TerraSAR-X images in the presence of speckle noise”, IEEE, 2013 8th International Sympoisum on Image and Signal Processing and Analysis (ISPA), Italy, pp.36-42, 2013.