Edge surface extraction from 3D images

Ann Heng Pheng; L. Wang; TT Wong; Sak Leung Kwong; J. C.Y. Cheng

doi:10.1117/12.431112

Edge surface extraction from 3D images

Ann Heng Pheng
, L. Wang
, TT Wong
, Sak Leung Kwong
, J. C.Y. Cheng

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

12 Citations (Scopus)

Abstract

Within 3D image, edge surfaces usually correspond to structural boundaries. Therefore, their recognition and modeling are of basic importance in 3D image analysis. Several approaches have been proposed to find or visualize them, such as 3D edge detection and volume rendering algorithms. But edge detectors mainly seek discrete 3D edge-like points in a 3D image, and volume rendering is mainly used for display. Neither extracts a continuous edge surface model, which is usually needed for further analysis, understanding and interpretation of structures within a 3D image. We present two ways, simple and easy to implement, to extract surface models of step-like edge surfaces directly from a 3D image.

Original language	English
Title of host publication	Medical Imaging 2001: Image Processing
Publisher	SPIE - International Society for Optical Engineering
Pages	407-416
Number of pages	10
Volume	4322
Edition	1
DOIs	https://doi.org/10.1117/12.431112
Publication status	Published - 2001
Externally published	Yes
Event	Medical Imaging 2001: Image Processing - San Diego, United States of America Duration: 19 Feb 2001 → 22 Feb 2001 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/4322.toc#_=_ (Proceedings)

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
ISSN (Print)	0277-786X

Conference

Conference	Medical Imaging 2001
Country/Territory	United States of America
City	San Diego
Period	19/02/01 → 22/02/01
Internet address	https://www.spiedigitallibrary.org/conference-proceedings-of-spie/4322.toc#_=_ (Proceedings)

Keywords

3D edge detection
3D image analysis
Edge surface extraction
Feature extraction
Laplacian operator
Step-like edge
Surface modeling
Visualization
Zero-crossing

Access to Document

10.1117/12.431112

Cite this

@inproceedings{ea4de4d2149544fb9ba3aa10f2f94223,

title = "Edge surface extraction from 3D images",

abstract = "Within 3D image, edge surfaces usually correspond to structural boundaries. Therefore, their recognition and modeling are of basic importance in 3D image analysis. Several approaches have been proposed to find or visualize them, such as 3D edge detection and volume rendering algorithms. But edge detectors mainly seek discrete 3D edge-like points in a 3D image, and volume rendering is mainly used for display. Neither extracts a continuous edge surface model, which is usually needed for further analysis, understanding and interpretation of structures within a 3D image. We present two ways, simple and easy to implement, to extract surface models of step-like edge surfaces directly from a 3D image.",

keywords = "3D edge detection, 3D image analysis, Edge surface extraction, Feature extraction, Laplacian operator, Step-like edge, Surface modeling, Visualization, Zero-crossing",

author = "Pheng, \{Ann Heng\} and L. Wang and TT Wong and Kwong, \{Sak Leung\} and Cheng, \{J. C.Y.\}",

year = "2001",

doi = "10.1117/12.431112",

language = "English",

volume = "4322",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE - International Society for Optical Engineering",

pages = "407--416",

booktitle = "Medical Imaging 2001: Image Processing",

address = "United States of America",

edition = "1",

note = "Medical Imaging 2001 : Image Processing ; Conference date: 19-02-2001 Through 22-02-2001",

url = "https://www.spiedigitallibrary.org/conference-proceedings-of-spie/4322.toc\#\_=\_",

}

Pheng, AH, Wang, L, Wong, TT, Kwong, SL & Cheng, JCY 2001, Edge surface extraction from 3D images. in Medical Imaging 2001: Image Processing. 1 edn, vol. 4322, Proceedings of SPIE - The International Society for Optical Engineering, SPIE - International Society for Optical Engineering, pp. 407-416, Medical Imaging 2001, San Diego, California, United States of America, 19/02/01. https://doi.org/10.1117/12.431112

Edge surface extraction from 3D images. / Pheng, Ann Heng; Wang, L.; Wong, TT et al.
Medical Imaging 2001: Image Processing. Vol. 4322 1. ed. SPIE - International Society for Optical Engineering, 2001. p. 407-416 (Proceedings of SPIE - The International Society for Optical Engineering).

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

TY - GEN

T1 - Edge surface extraction from 3D images

AU - Pheng, Ann Heng

AU - Wang, L.

AU - Wong, TT

AU - Kwong, Sak Leung

AU - Cheng, J. C.Y.

PY - 2001

Y1 - 2001

N2 - Within 3D image, edge surfaces usually correspond to structural boundaries. Therefore, their recognition and modeling are of basic importance in 3D image analysis. Several approaches have been proposed to find or visualize them, such as 3D edge detection and volume rendering algorithms. But edge detectors mainly seek discrete 3D edge-like points in a 3D image, and volume rendering is mainly used for display. Neither extracts a continuous edge surface model, which is usually needed for further analysis, understanding and interpretation of structures within a 3D image. We present two ways, simple and easy to implement, to extract surface models of step-like edge surfaces directly from a 3D image.

AB - Within 3D image, edge surfaces usually correspond to structural boundaries. Therefore, their recognition and modeling are of basic importance in 3D image analysis. Several approaches have been proposed to find or visualize them, such as 3D edge detection and volume rendering algorithms. But edge detectors mainly seek discrete 3D edge-like points in a 3D image, and volume rendering is mainly used for display. Neither extracts a continuous edge surface model, which is usually needed for further analysis, understanding and interpretation of structures within a 3D image. We present two ways, simple and easy to implement, to extract surface models of step-like edge surfaces directly from a 3D image.

KW - 3D edge detection

KW - 3D image analysis

KW - Edge surface extraction

KW - Feature extraction

KW - Laplacian operator

KW - Step-like edge

KW - Surface modeling

KW - Visualization

KW - Zero-crossing

UR - https://www.scopus.com/pages/publications/0034842212

U2 - 10.1117/12.431112

DO - 10.1117/12.431112

M3 - Conference Paper

AN - SCOPUS:0034842212

VL - 4322

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 407

EP - 416

BT - Medical Imaging 2001: Image Processing

PB - SPIE - International Society for Optical Engineering

T2 - Medical Imaging 2001

Y2 - 19 February 2001 through 22 February 2001

ER -

Edge surface extraction from 3D images

Abstract

Publication series

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Keywords

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