A Relay Level Set Method for Automatic Image Segmentation
- 23 September 2010
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
- Vol. 41 (2), 518-525
- https://doi.org/10.1109/tsmcb.2010.2065800
Abstract
This paper presents a new image segmentation method that applies an edge-based level set method in a relay fashion. The proposed method segments an image in a series of nested subregions that are automatically created by shrinking the stabilized curves in their previous subregions. The final result is obtained by combining all boundaries detected in these subregions. The proposed method has the following three advantages: 1) It can be automatically executed without human-computer interactions; 2) it applies the edge-based level set method with relay fashion to detect all boundaries; and 3) it automatically obtains a full segmentation without specifying the number of relays in advance. The comparison experiments illustrate that the proposed method performs better than the representative level set methods, and it can obtain similar or better results compared with other popular segmentation algorithms.Keywords
This publication has 34 references indexed in Scilit:
- Manifold elastic net: a unified framework for sparse dimension reductionData Mining and Knowledge Discovery, 2010
- Biologically Inspired Feature Manifold for Scene ClassificationIEEE Transactions on Image Processing, 2009
- Scene segmentation based on IPCA for visual surveillanceNeurocomputing, 2009
- Image Quality Assessment Based on Multiscale Geometric AnalysisIEEE Transactions on Image Processing, 2009
- Level set image segmentation with Bayesian analysisNeurocomputing, 2008
- Advances in Image and Video SegmentationPublished by IGI Global ,2006
- What energy functions can be minimized via graph cuts?Ieee Transactions On Pattern Analysis and Machine Intelligence, 2004
- Topology preserving level set method for geometric deformable modelsIeee Transactions On Pattern Analysis and Machine Intelligence, 2003
- A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithmsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2002
- Snakes, shapes, and gradient vector flowIEEE Transactions on Image Processing, 1998