Computer Science ›› 2011, Vol. 38 ›› Issue (11): 282-285.

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Edge Detection Algorithm of Oil Spills Remote Sensing Image Based on DBT Denoising and Improved GDNI Edge Linking

  

  • Online:2018-12-01 Published:2018-12-01

Abstract: Edge detection technology of oil spills image on the sea is one of most key technologies to monitor oil spills on the sea. In view of characteristics of oil spills remote sensing image, this paper presented a novel method to detect edge of oil spills image on the sea. The algorithm is composed of three parts: "non-maximal suppression" realizes candidate edge detection of oil spills image, DBT eliminates the noise and pseudo edge in candidate edge, and makes edge locate more accurately and continuously, an improved GDNI edge linking algorithm is used for linking discrete edge points into closed edge contours. Experiment results show that the proposed algorithm can gain continuous and closed edges of oil slick remote sensing images and edge extraction for oil slick images with low contrast and strong noise.

Key words: Oil spills, Sensing image, Edge detection, Non-maximal suppression, Self-adaptive dynamic block threshold,Edge linking

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