In this work, we introduce a method named creeping contours for image segmentation into component parts for the purpose of extracting the boundary surfaces of these parts. Creeping contours are contours that expand following a speed function defined by the gradient and curvature at contour points, starting from an initial contour position defined either manually or automatically. Contours in the image creep simultaneously at different speeds, while labels are assigned to contour pixels by the defined creeping condition. We also demonstrate the effectiveness of the proposed method by segmenting 2D grayscale images and 3D volumetric computed tomography images of mechanical parts into multiple segments and generating the boundary surfaces of these parts.
Skip Nav Destination
Article navigation
March 2011
Research Papers
Creeping Contours: A Multilabel Image Segmentation Method for Extracting Boundary Surfaces of Parts in Volumetric Images
Haitham Shammaa,
Haitham Shammaa
Research Center for Advanced Science and Technology,
The University of Tokyo
, Komaba 4-6-1, Meguro, Tokyo 153-8904, Japan
Search for other works by this author on:
Hiromasa Suzuki,
Hiromasa Suzuki
Research Center for Advanced Science and Technology,
The University of Tokyo
, Komaba 4-6-1, Meguro, Tokyo 153-8904, Japan
Search for other works by this author on:
Yutaka Ohtake
Yutaka Ohtake
Research Center for Advanced Science and Technology,
The University of Tokyo
, Komaba 4-6-1, Meguro, Tokyo 153-8904, Japan
Search for other works by this author on:
Haitham Shammaa
Research Center for Advanced Science and Technology,
The University of Tokyo
, Komaba 4-6-1, Meguro, Tokyo 153-8904, Japan
Hiromasa Suzuki
Research Center for Advanced Science and Technology,
The University of Tokyo
, Komaba 4-6-1, Meguro, Tokyo 153-8904, Japan
Yutaka Ohtake
Research Center for Advanced Science and Technology,
The University of Tokyo
, Komaba 4-6-1, Meguro, Tokyo 153-8904, JapanJ. Comput. Inf. Sci. Eng. Mar 2011, 11(1): 011007 (9 pages)
Published Online: March 31, 2011
Article history
Received:
May 24, 2010
Revised:
September 16, 2010
Online:
March 31, 2011
Published:
March 31, 2011
Citation
Shammaa, H., Suzuki, H., and Ohtake, Y. (March 31, 2011). "Creeping Contours: A Multilabel Image Segmentation Method for Extracting Boundary Surfaces of Parts in Volumetric Images." ASME. J. Comput. Inf. Sci. Eng. March 2011; 11(1): 011007. https://doi.org/10.1115/1.3569830
Download citation file:
Get Email Alerts
Cited By
Mathematical Principle for Calculating Contacting Curve Length of Involute Helicon Gearing
J. Comput. Inf. Sci. Eng (January 2025)
Design Knowledge as Attention Emphasizer in LLM-based Sentiment Analysis
J. Comput. Inf. Sci. Eng
Related Articles
The Association of Wall Mechanics and Morphology: A Case Study of Abdominal Aortic Aneurysm Growth
J Biomech Eng (October,2011)
Evaluation of Flaw Detection Algorithm Using Simulated X-Ray Computed Tomography of Ground Truth Data
ASME J Nondestructive Evaluation (November,2023)
Three-Dimensional Geometrical Characterization of Abdominal Aortic Aneurysms: Image-Based Wall Thickness Distribution
J Biomech Eng (June,2009)
Gaussian and Gabor Filter Approach for Object Segmentation
J. Comput. Inf. Sci. Eng (June,2014)
Related Proceedings Papers
Related Chapters
Dismantling
Decommissioning Handbook
Improve the Brightness Image Segmentation Based on Wavelet Transform and Converter Color Space
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)
The Prediction of the Parameter in a New Method of Word Segmentation
International Conference on Computer and Automation Engineering, 4th (ICCAE 2012)