SAR sea ice image segmentation using watershed with intensity-based region merging

Tolulope Bamidele Ijitona, Jinchang Ren, Phil Byongjun Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

11 Citations (Scopus)

Abstract

A new approach for Synthetic Aperture Radar (SAR) based sea ice image segmentation for the retrieval of floe size distribution (FSD) is proposed. This method consists of three stages. The first stage involves the pre-processing of the SAR image to reduce the speckle noise in the image by median filtering. The second stage involves an initial segmentation of the image using the Watershed transform. The third stage involves a region merging process based on the difference function of the mean intensity of adjacent regions. Adjacent regions are defined by the region adjacency graph based on a minimum distance of 1 pixel between two adjacent regions. A threshold value is usually set for the merging process, if the difference in mean intensity of adjacent regions is less than the threshold, the adjacent regions will be merged. Experimental results have shown the efficacy of the proposed method in effective segmentation of SAR ice images.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Computer and Information Technology, CIT 2014
Place of PublicationPiscataway, NJ.
PublisherIEEE
Pages168-172
Number of pages5
ISBN (Electronic)9781479962389
DOIs
Publication statusPublished - 12 Dec 2014
Event14th IEEE International Conference on Computer and Information Technology, CIT 2014 - Xi'an, Shaanxi, China
Duration: 11 Sep 201413 Sep 2014

Conference

Conference14th IEEE International Conference on Computer and Information Technology, CIT 2014
Country/TerritoryChina
CityXi'an, Shaanxi
Period11/09/1413/09/14

Keywords

  • intensity-based region merging
  • sea ice
  • synthetic aperture radar (SAR)
  • watershed segmentation

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