Texture aware image segmentation using graph cuts and active contours
The problem of segmenting a foreground object out from its complex background is of great interest in image processing and computer vision. Many interactive segmentation algorithms such as graph cut have been successfully developed. In this paper, we present four technical components to improve grap...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/99710 http://hdl.handle.net/10220/17541 |
| _version_ | 1824453664378454016 |
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| author | Zhou, Hailing Zheng, Jianmin Wei, Lei |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Zhou, Hailing Zheng, Jianmin Wei, Lei |
| author_sort | Zhou, Hailing |
| collection | NTU |
| description | The problem of segmenting a foreground object out from its complex background is of great interest in image processing and computer vision. Many interactive segmentation algorithms such as graph cut have been successfully developed. In this paper, we present four technical components to improve graph cut based algorithms, which are combining both color and texture information for graph cut, including structure tensors in the graph cut model, incorporating active contours into the segmentation process, and using a “softbrush” tool to impose soft constraints to refine problematic boundaries. The integration of these components provides an interactive segmentation method that overcomes the difficulties of previous segmentation algorithms in handling images containing textures or low contrast boundaries and producing a smooth and accurate segmentation boundary. Experiments on various images from the Brodatz, Berkeley and MSRC data sets are conducted and the experimental results demonstrate the high effectiveness of the proposed method to a wide range of images. |
| first_indexed | 2025-02-19T03:10:01Z |
| format | Journal Article |
| id | ntu-10356/99710 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:10:01Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/997102020-05-28T07:19:22Z Texture aware image segmentation using graph cuts and active contours Zhou, Hailing Zheng, Jianmin Wei, Lei School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition The problem of segmenting a foreground object out from its complex background is of great interest in image processing and computer vision. Many interactive segmentation algorithms such as graph cut have been successfully developed. In this paper, we present four technical components to improve graph cut based algorithms, which are combining both color and texture information for graph cut, including structure tensors in the graph cut model, incorporating active contours into the segmentation process, and using a “softbrush” tool to impose soft constraints to refine problematic boundaries. The integration of these components provides an interactive segmentation method that overcomes the difficulties of previous segmentation algorithms in handling images containing textures or low contrast boundaries and producing a smooth and accurate segmentation boundary. Experiments on various images from the Brodatz, Berkeley and MSRC data sets are conducted and the experimental results demonstrate the high effectiveness of the proposed method to a wide range of images. 2013-11-08T08:31:55Z 2019-12-06T20:10:38Z 2013-11-08T08:31:55Z 2019-12-06T20:10:38Z 2012 2012 Journal Article Zhou, H., Zheng, J., & Wei, L. (2012). Texture aware image segmentation using graph cuts and active contours. Pattern recognition, 46(6), 1719-1733. 0031-3203 https://hdl.handle.net/10356/99710 http://hdl.handle.net/10220/17541 10.1016/j.patcog.2012.12.005 en Pattern recognition |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Zhou, Hailing Zheng, Jianmin Wei, Lei Texture aware image segmentation using graph cuts and active contours |
| title | Texture aware image segmentation using graph cuts and active contours |
| title_full | Texture aware image segmentation using graph cuts and active contours |
| title_fullStr | Texture aware image segmentation using graph cuts and active contours |
| title_full_unstemmed | Texture aware image segmentation using graph cuts and active contours |
| title_short | Texture aware image segmentation using graph cuts and active contours |
| title_sort | texture aware image segmentation using graph cuts and active contours |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| url | https://hdl.handle.net/10356/99710 http://hdl.handle.net/10220/17541 |
| work_keys_str_mv | AT zhouhailing textureawareimagesegmentationusinggraphcutsandactivecontours AT zhengjianmin textureawareimagesegmentationusinggraphcutsandactivecontours AT weilei textureawareimagesegmentationusinggraphcutsandactivecontours |