Texture gradient based watershed segmentation

PR Hill; CN Canagarajah; DR Bull

doi:10.1109/ICASSP.2002.1004637

Texture gradient based watershed segmentation

PR Hill, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

12 Citations (Scopus)

392 Downloads (Pure)

Abstract

The watershed transform is a well established tool for the segmentation of images. However, watershed segmentation is often not effective for textured regions that are perceptually homogeneous. Such regions are usually inaccurately over-segmented with no reference to any texture changes. We now introduce a novel concept of "texture gradient" implemented using a non-decimated complex wavelet transform. A novel marker location algorithm is subsequently used to locate significant homogeneous textured or non textured regions. A marker driven watershed transform is then used to properly segment the identified regions. The combined algorithm produces effective texture and intensity based segmentation for the application to content based retrieval of images.

Translated title of the contribution	Texture gradient based watershed segmentation
Original language	English
Title of host publication	International Conference on Acoustics, Speech and Signal Processing (ICASSP'02)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	IV-3381 - IV-3384
Number of pages	4
Volume	IV
ISBN (Print)	0780374029
DOIs	https://doi.org/10.1109/ICASSP.2002.1004637
Publication status	Published - May 2002
Event	2002 IEEE International Conference on Acoustics, Speech, and Signal Processing - Orlando, Florida, United States Duration: 13 May 2002 → 17 May 2002

Conference

Conference	2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP '02
Country/Territory	United States
City	Orlando, Florida
Period	13/05/02 → 17/05/02

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2002 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002 (ICASSP '02).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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Hill IEEE ICASSP 2002Accepted author manuscript, 393 KB

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author = "PR Hill and CN Canagarajah and DR Bull",

note = "Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2002 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002 (ICASSP '02). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '02 ; Conference date: 13-05-2002 Through 17-05-2002",

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Hill, PR, Canagarajah, CN & Bull, DR 2002, Texture gradient based watershed segmentation. in International Conference on Acoustics, Speech and Signal Processing (ICASSP'02). vol. IV, Institute of Electrical and Electronics Engineers (IEEE), pp. IV-3381 - IV-3384, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing, Orlando, Florida, United States, 13/05/02. https://doi.org/10.1109/ICASSP.2002.1004637

Texture gradient based watershed segmentation. / Hill, PR; Canagarajah, CN; Bull, DR.
International Conference on Acoustics, Speech and Signal Processing (ICASSP'02). Vol. IV Institute of Electrical and Electronics Engineers (IEEE), 2002. p. IV-3381 - IV-3384.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

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AU - Canagarajah, CN

AU - Bull, DR

N1 - Rose publication type: Conference contribution Terms of use: Copyright © 2002 IEEE. Reprinted from IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002 (ICASSP '02). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2002/5

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N2 - The watershed transform is a well established tool for the segmentation of images. However, watershed segmentation is often not effective for textured regions that are perceptually homogeneous. Such regions are usually inaccurately over-segmented with no reference to any texture changes. We now introduce a novel concept of "texture gradient" implemented using a non-decimated complex wavelet transform. A novel marker location algorithm is subsequently used to locate significant homogeneous textured or non textured regions. A marker driven watershed transform is then used to properly segment the identified regions. The combined algorithm produces effective texture and intensity based segmentation for the application to content based retrieval of images.

AB - The watershed transform is a well established tool for the segmentation of images. However, watershed segmentation is often not effective for textured regions that are perceptually homogeneous. Such regions are usually inaccurately over-segmented with no reference to any texture changes. We now introduce a novel concept of "texture gradient" implemented using a non-decimated complex wavelet transform. A novel marker location algorithm is subsequently used to locate significant homogeneous textured or non textured regions. A marker driven watershed transform is then used to properly segment the identified regions. The combined algorithm produces effective texture and intensity based segmentation for the application to content based retrieval of images.

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DO - 10.1109/ICASSP.2002.1004637

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SP - IV-3381 - IV-3384

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PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

Texture gradient based watershed segmentation

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