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

Tolulope Bamidele Ijitona; Jinchang Ren; Phil Byongjun Hwang

doi:10.1109/CIT.2014.19

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 proceeding › Conference contribution › peer-review

17 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 language	English
Title of host publication	Proceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	168-172
Number of pages	5
ISBN (Electronic)	9781479962389
DOIs	https://doi.org/10.1109/CIT.2014.19
Publication status	Published - 1 Jan 2014
Event	14th IEEE International Conference on Computer and Information Technology - Xi'an, Shaanxi, China Duration: 11 Sep 2014 → 13 Sep 2014 Conference number: 14

Conference

Conference	14th IEEE International Conference on Computer and Information Technology
Abbreviated title	CIT 2014
Country/Territory	China
City	Shaanxi
Period	11/09/14 → 13/09/14

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title = "SAR sea ice image segmentation using watershed with intensity-based region merging",

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.",

keywords = "Intensity-based region merging, Sea ice, Synthetic Aperture Radar (SAR), Watershed segmentation",

author = "Ijitona, {Tolulope Bamidele} and Jinchang Ren and Hwang, {Phil Byongjun}",

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booktitle = "Proceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014",

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note = "14th IEEE International Conference on Computer and Information Technology, CIT 2014 ; Conference date: 11-09-2014 Through 13-09-2014",

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Ijitona, TB, Ren, J & Hwang, PB 2014, SAR sea ice image segmentation using watershed with intensity-based region merging. in Proceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014., 6984649, Institute of Electrical and Electronics Engineers Inc., pp. 168-172, 14th IEEE International Conference on Computer and Information Technology, Shaanxi, China, 11/09/14. https://doi.org/10.1109/CIT.2014.19

SAR sea ice image segmentation using watershed with intensity-based region merging. / Ijitona, Tolulope Bamidele; Ren, Jinchang; Hwang, Phil Byongjun.

Proceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 168-172 6984649.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SAR sea ice image segmentation using watershed with intensity-based region merging

AU - Ijitona, Tolulope Bamidele

AU - Ren, Jinchang

AU - Hwang, Phil Byongjun

N1 - Conference code: 14

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - Intensity-based region merging

KW - Sea ice

KW - Synthetic Aperture Radar (SAR)

KW - Watershed segmentation

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BT - Proceedings - 2014 IEEE International Conference on Computer and Information Technology, CIT 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE International Conference on Computer and Information Technology

Y2 - 11 September 2014 through 13 September 2014

ER -

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

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