A new adaptive morphological algorithm for contour extraction on ultrasound image

Dandan Li; Yi Shen; Zhiyan Liu; Ping He

doi:10.1109/IMTC.2004.1351498

A new adaptive morphological algorithm for contour extraction on ultrasound image

Dandan Li^*
, Yi Shen
, Zhiyan Liu
, Ping He

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

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

2 Scopus citations

Abstract

This Paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.

Original language	English
Title of host publication	Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04
Editors	S. Demidenko, R. Ottoboni, D. Petri, V. Piuri, D.C.T. Weng
Pages	2077-2081
Number of pages	5
DOIs	https://doi.org/10.1109/IMTC.2004.1351498
State	Published - 2004
Event	Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 - Como, Italy Duration: 18 May 2004 → 20 May 2004

Publication series

Name	Conference Record - IEEE Instrumentation and Measurement Technology Conference
Volume	3
ISSN (Print)	1091-5281

Conference

Conference	Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04
Country/Territory	Italy
City	Como
Period	18/05/04 → 20/05/04

Keywords

Contour Extraction
Fuzzy Sets
Morphology
Ultrasound Image

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10.1109/IMTC.2004.1351498

Cite this

Li, D., Shen, Y., Liu, Z., & He, P. (2004). A new adaptive morphological algorithm for contour extraction on ultrasound image. In S. Demidenko, R. Ottoboni, D. Petri, V. Piuri, & D. C. T. Weng (Eds.), Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 (pp. 2077-2081). (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 3). https://doi.org/10.1109/IMTC.2004.1351498

Li, Dandan ; Shen, Yi ; Liu, Zhiyan et al. / A new adaptive morphological algorithm for contour extraction on ultrasound image. Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04. editor / S. Demidenko ; R. Ottoboni ; D. Petri ; V. Piuri ; D.C.T. Weng. 2004. pp. 2077-2081 (Conference Record - IEEE Instrumentation and Measurement Technology Conference).

@inproceedings{7e5fb906b0344c4db47d2c0e1fe8beed,

title = "A new adaptive morphological algorithm for contour extraction on ultrasound image",

abstract = "This Paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.",

keywords = "Contour Extraction, Fuzzy Sets, Morphology, Ultrasound Image",

author = "Dandan Li and Yi Shen and Zhiyan Liu and Ping He",

year = "2004",

doi = "10.1109/IMTC.2004.1351498",

language = "英语",

isbn = "078038248X",

series = "Conference Record - IEEE Instrumentation and Measurement Technology Conference",

pages = "2077--2081",

editor = "S. Demidenko and R. Ottoboni and D. Petri and V. Piuri and D.C.T. Weng",

booktitle = "Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04",

note = "Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04 ; Conference date: 18-05-2004 Through 20-05-2004",

}

Li, D, Shen, Y, Liu, Z & He, P 2004, A new adaptive morphological algorithm for contour extraction on ultrasound image. in S Demidenko, R Ottoboni, D Petri, V Piuri & DCT Weng (eds), Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04. Conference Record - IEEE Instrumentation and Measurement Technology Conference, vol. 3, pp. 2077-2081, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04, Como, Italy, 18/05/04. https://doi.org/10.1109/IMTC.2004.1351498

A new adaptive morphological algorithm for contour extraction on ultrasound image. / Li, Dandan; Shen, Yi; Liu, Zhiyan et al.
Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04. ed. / S. Demidenko; R. Ottoboni; D. Petri; V. Piuri; D.C.T. Weng. 2004. p. 2077-2081 (Conference Record - IEEE Instrumentation and Measurement Technology Conference; Vol. 3).

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

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AU - Liu, Zhiyan

AU - He, Ping

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N2 - This Paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.

AB - This Paper describes a new adaptive algorithm for contour extraction employing fuzzy sets theory together with morphological image processing techniques. Advantage of this algorithm is that its parameter can be adjusted adaptively to extract the best contour. The contour extraction is accomplished in two stages. The first stage employs fuzzy sets theory to enhance image. The second stage extracts the image contour adaptively and effectively employing morphological theory. The validity of the approach is demonstrated using ultrasound image.

KW - Contour Extraction

KW - Fuzzy Sets

KW - Morphology

KW - Ultrasound Image

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DO - 10.1109/IMTC.2004.1351498

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SN - 078038248X

T3 - Conference Record - IEEE Instrumentation and Measurement Technology Conference

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A2 - Ottoboni, R.

A2 - Petri, D.

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Li D, Shen Y, Liu Z, He P. A new adaptive morphological algorithm for contour extraction on ultrasound image. In Demidenko S, Ottoboni R, Petri D, Piuri V, Weng DCT, editors, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference, IMTC/04. 2004. p. 2077-2081. (Conference Record - IEEE Instrumentation and Measurement Technology Conference). doi: 10.1109/IMTC.2004.1351498

A new adaptive morphological algorithm for contour extraction on ultrasound image

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