- Title
- A novel global threshold-based active contour model
- Creator
- Altarawneh, Nuseiba M.; Luo, Suhuai; Regan, Brian; Sun, Changming
- Relation
- Fourth International Conference on Computer Science & Information Technology (CCSIT 2014). Proceedings from the Fourth International Conference on Computer Science & Information Technology (Sydney, Australia 21-22 February, 2014) p. 245-254
- Publisher Link
- http://dx.doi.org/10.5121/csit.2014.4220
- Publisher
- AIRCC Publishing
- Resource Type
- conference paper
- Date
- 2014
- Description
- In this paper, we propose a novel global threshold-based active contour model which employs a new edge-stopping function that controls the direction of the evolution and stops the evolving contour at weak or blurred edges. The model is implemented using selective binary and Gaussian filtering regularized level set (SBGFRLS) method. The method has a selective local or global segmentation property. It selectively penalizes the level set function to be a binary function. This is followed by using a Gaussian function to regularize it. The Gaussian filters smooth the level set function and afford the evolution more stability. The contour could be initialized anywhere inside the image to extract object boundaries. The proposed method performs well when the intensities inside and outside the object are homogenous. Our method is tested on synthetic, medical and Arabic characters images with satisfactory results.
- Subject
- imagesegmentation; active contour; geodesic active contour; C-V model; level set method; ZAC model
- Identifier
- http://hdl.handle.net/1959.13/1068060
- Identifier
- uon:18540
- Identifier
- ISBN:9781921987274
- Language
- eng
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