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A relay level set method for automatic image segmentation
Xinbo Gao1, Bin Wang, Dacheng Tao
1School of Electronic Engineering, Xidian University, Xi'an 710071, China. xbgao@mail.xidian.edu.cn
Summary
This study introduces an automated image segmentation method using an edge-based level set approach in a relay fashion. The novel technique achieves superior segmentation results without manual intervention or pre-defined parameters.
Area of Science:
- Computer Vision
- Image Processing
- Computational Mathematics
Background:
- Image segmentation is crucial for image analysis.
- Existing level set methods often require manual interaction or parameter tuning.
- Accurate and automated segmentation remains a challenge.
Purpose of the Study:
- To develop a novel, automated image segmentation method.
- To improve upon existing edge-based level set techniques.
- To achieve accurate segmentation without human-computer interaction.
Main Methods:
- An edge-based level set method is applied in a relay fashion.
- Images are segmented into nested subregions by shrinking stabilized curves.
- Final segmentation is achieved by combining boundaries from all subregions.
Main Results:
- The proposed method demonstrates automatic execution without human intervention.
- It effectively detects all boundaries using the relay-fashion level set approach.
- Full segmentation is achieved automatically without pre-specifying the number of relays.
Conclusions:
- The novel relay-fashion edge-based level set method offers superior performance.
- It outperforms representative level set methods and comparable popular algorithms.
- This approach provides an automated and effective solution for image segmentation.
