Detection and Classification of Land Crude Oil Spills Using Color Segmentation and Texture Analysis

Crude oil spills have negative consequences on the economy, environment, health and society in which they occur, and the severity of the consequences depends on how quickly these spills are detected once they begin. Several methods have been employed for spill detection, including real time remote surveillance by flying aircrafts with surveillance teams. Other methods employ various sensors, including visible sensors. This paper presents an algorithm to automatically detect the presence of crude oil spills in images acquired using visible light sensors. Images of crude oil spills used in the development of the algorithm were obtained from the Shell Petroleum Development Company (SPDC) Nigeria website The major steps of the detection algorithm are image preprocessing, crude oil color segmentation, sky elimination segmentation, Region of Interest (ROI) extraction, ROI texture feature extraction, and ROI texture feature analysis and classification. The algorithm was developed using 25 sample images containing crude oil spills and demonstrated a sensitivity of 92% and an FPI of 1.43. The algorithm was further tested on a set of 56 case images and demonstrated a sensitivity of 82% and an FPI of 0.66. This algorithm can be incorporated into spill detection systems that utilize visible sensors for early detection of crude oil spills.

[1]  Konstantinos N. Topouzelis,et al.  Oil Spill Detection by SAR Images: Dark Formation Detection, Feature Extraction and Classification Algorithms , 2008, Sensors.

[2]  B. Fiscella,et al.  Oil spill detection using marine SAR images , 2000 .

[3]  Adati Ayuba Kadafa,et al.  Oil Exploration and Spillage in the Niger Delta of Nigeria , 2012 .

[4]  D. Frazer,et al.  Inhalation exposure of rats to asphalt fumes generated at paving temperatures alters pulmonary xenobiotic metabolism pathways without lung injury. , 2003, Environmental health perspectives.

[5]  Ruili Huang,et al.  Analysis of eight oil spill dispersants using rapid, in vitro tests for endocrine and other biological activity. , 2010, Environmental science & technology.

[6]  Karsten Liber,et al.  Acute and subchronic mammalian toxicity of naphthenic acids from oil sands tailings. , 2002, Toxicological sciences : an official journal of the Society of Toxicology.

[7]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[8]  G. Rodríguez-Trigo,et al.  [Health effects of exposure to oil spills]. , 2007, Archivos de bronconeumologia.

[9]  H. Espedal Satellite SAR oil spill detection using wind history information , 1999 .

[10]  O'tega A. Ejofodomi Exploring the Feasibility of Robotic Pipeline Surveillance for Detecting Crude Oil Spills in the Niger Delta , 2016 .

[11]  G. Reddy,et al.  Health consequences among subjects involved in Gulf oil spill clean-up activities. , 2013, The American journal of medicine.

[12]  A. Solberg,et al.  Oil spill detection by satellite remote sensing , 2005 .

[13]  M. Whitman,et al.  The Health Effects of Oil Contamination: A Compilation of Research , 2010 .

[14]  He Wang,et al.  How public health impact is addressed: a retrospective view on three different oil spills , 2012 .

[15]  Anne T. Lawrence Shell in Nigeria , 2000 .

[16]  Jean-Yves Tourneret,et al.  Ship and Oil-Spill Detection Using the Degree of Polarization in Linear and Hybrid/Compact Dual-Pol SAR , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[17]  Fabio Del Frate,et al.  Neural networks for oil spill detection using ERS-SAR data , 2000, IEEE Trans. Geosci. Remote. Sens..

[18]  Melanie Dorsett Exxon Valdez Oil Spill Continued Effects On The Alaskan Economy , 2010 .

[19]  Stephanie E. Chang,et al.  Consequences of oil spills: a review and framework for informing planning , 2014 .

[20]  Hammam,et al.  Effects of Environmental Oil Spills on Commercial Fish and Shellfish in Suez Canal and Suez Gulf Regions ( Review Article ) , 2014 .

[21]  A. Publication Analysis of U.S. Oil Spillage , 2009 .

[22]  Adrião Duarte Dória Neto,et al.  Intelligent System for Feature Extraction of Oil Slick in SAR Images: Speckle Filter Analysis , 2006, ICONIP.

[23]  J. Barberà,et al.  Prolonged respiratory symptoms in clean-up workers of the prestige oil spill. , 2007, American journal of respiratory and critical care medicine.

[24]  Blanca Laffon,et al.  Review on the effects of exposure to spilled oils on human health , 2010, Journal of applied toxicology : JAT.

[26]  Djemel Ziou,et al.  An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level set approach , 2005, IEEE International Conference on Image Processing 2005.

[27]  Inoni Odjuvwuederhie Emmanuel,et al.  THE EFFECT OF OIL SPILLAGE ON CROP YIELD AND FARM INCOME IN DELTA STATE, NIGERIA , 2006 .

[28]  Usaid,et al.  Annual statistical bulletin , 1950 .

[29]  T. Collier,et al.  Cardiac arrhythmia is the primary response of embryonic Pacific herring (Clupea pallasi) exposed to crude oil during weathering. , 2009, Environmental science & technology.

[30]  A. Salako Oil spills and community health: Implications for resource limited settings , 2012 .

[31]  C. Mba,et al.  Effects of Oil Spillage on Community Development in the Niger Delta Region: Implications for the Eradication of Poverty and Hunger (Millennium Development Goal One) in Nigeria , 2013 .

[32]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  Ola M. Johannessen,et al.  Cover: Detection of oil spills near offshore installations using synthetic aperture radar (SAR) , 2000 .

[34]  Rune Solberg,et al.  Automatic detection of oil spills in ERS SAR images , 1999, IEEE Trans. Geosci. Remote. Sens..

[35]  R. Cossu,et al.  A color image segmentation method as used in the study of ancient monument decay , 2004 .

[36]  Hongdong Li,et al.  Object-Respecting Color Image Segmentation , 2007, 2007 IEEE International Conference on Image Processing.

[37]  Ronald Pelot,et al.  Visualization of spatial patterns and temporal trends for aerial surveillance of illegal oil discharges in western Canadian marine waters. , 2008, Marine pollution bulletin.

[38]  S. Ali Etemad,et al.  Robust Horizon Detection Using Segmentation for UAV Applications , 2012, 2012 Ninth Conference on Computer and Robot Vision.