Speeding Up Active Mesh Segmentation by Local Termination of Nodes

Nelson, Carl J.; Dixon, Martin; Laissue, P. Philippe; Obara, Boguslaw; Reyes-Aldasoro, Constantino Carlos; Slabaugh, Greg

Abstract

This article outlines a procedure for speeding up segmentation of images using active mesh systems. Active meshes and other deformable models are very popular in image segmentation due to their ability to capture weak or missing boundary information; however, where strong edges exist, computations are still done after mesh nodes have settled on the boundary. This can lead to extra computational time whilst the system continues to deform completed regions of the mesh. We propose a local termination procedure, reducing these unnecessary computations and speeding up segmentation time with minimal loss of quality.

Citation

Nelson, C. J., Dixon, M., Laissue, P. P., Obara, B., Reyes-Aldasoro, C. C., & Slabaugh, G. (2014, July). Speeding Up Active Mesh Segmentation by Local Termination of Nodes. Presented at Medical Image Understanding and Analysis 2014, London, UK

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Medical Image Understanding and Analysis 2014
• Acceptance Date: May 5, 2014
• Publication Date: Jul 11, 2014
• Deposit Date: May 21, 2015
• Publicly Available Date: May 29, 2015
• Pages: 179-184
• Series Title: Proceedings of the 18th Conference on Medical Image Understanding and Analysis
• Book Title: Medical image understanding and analysis 2014.
• Public URL: https://durham-repository.worktribe.com/output/1153424
• Publisher URL: http://www.city.ac.uk/medical-image-understanding-and-analysis-2014/proceedings
• Additional Information: 9-11 July 2014, London, United Kingdom.