Proceedings Paper
A new image segmentation method via fusing NCut eigenvectors maps| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
This paper presents a new image segmentation method via fusing Normalized Cut (NCut) eigenvector maps. In this
method, we fuse the eigenvector maps by maximizing the salient contour signals and suppress the non-maximum ones.
Then, we use OWT-UCM method to produce the image segmentation from the soft contour map generated from the
fused eigenvector maps and local contour cues. We evaluate our segmentation method based on BSDS500 database.
Experimental results show that the proposed segmentation method is more accurate and preserve large meaningful region.
Paper Details
Date Published: 1 June 2012
PDF: 4 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833430 (1 June 2012);
Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)
PDF: 4 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833430 (1 June 2012);
Show Author Affiliations
Tiejun Zhang, Harbin Institute of Technology (China)
Ahmed A. Abd El-Latif, Harbin Institute of Technology (China)
Ning Wang, Harbin Institute of Technology (China)
Ahmed A. Abd El-Latif, Harbin Institute of Technology (China)
Ning Wang, Harbin Institute of Technology (China)
Qiong Li, Harbin Institute of Technology (China)
Xiamu Niu, Harbin Institute of Technology (China)
Xiamu Niu, Harbin Institute of Technology (China)
Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)
© SPIE. Terms of Use
