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A new active contour model based on complexity of textures for segmentation of natural image
- Source :
- APSIPA
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- Segmentation of natural image with complex textures is a challenge problem for classical Active Contour Models, because it is difficult to find a suitable measure for describing textures that always occupy a big area of natural image. In this paper, a new measure to evaluate texture complexity is proposed, then a feature map is created based on this measure. To approximate two phase image, diffusion filter is used to smooth the feature map. Finally, we proposed a new Active Contour Model based on the feature map. This new Active Contour Model can be used to segment natural image. Results of experiments on some typical natural images show the proposed model suffer from less over and wrong segmentation than state-of-the-art models.
- Subjects :
- Active contour model
Computer science
business.industry
Diffusion filter
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
02 engineering and technology
Image segmentation
01 natural sciences
Measure (mathematics)
Image (mathematics)
Level set
Feature (computer vision)
Computer Science::Computer Vision and Pattern Recognition
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Segmentation
Artificial intelligence
010306 general physics
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
- Accession number :
- edsair.doi...........9a0fa0430e0dd0307f89fc8329a65b0a