Interactive image segmentation via adaptive weighted distances.
Publication
, Journal Article
Protiere, A; Sapiro, G
Published in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
April 2007
An interactive algorithm for soft segmentation of natural images is presented in this paper. The user first roughly scribbles different regions of interest, and from them, the whole image is automatically segmented. This soft segmentation is obtained via fast, linear complexity computation of weighted distances to the user-provided scribbles. The adaptive weights are obtained from a series of Gabor filters, and are automatically computed according to the ability of each single filter to discriminate between the selected regions of interest. We present the underlying framework and examples showing the capability of the algorithm to segment diverse images.
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Published In
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DOI
EISSN
1941-0042
ISSN
1057-7149
Publication Date
April 2007
Volume
16
Issue
4
Start / End Page
1046 / 1057
Related Subject Headings
- Sensitivity and Specificity
- Reproducibility of Results
- Pattern Recognition, Automated
- Information Storage and Retrieval
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Artificial Intelligence & Image Processing
- Artificial Intelligence
- Algorithms
- 4607 Graphics, augmented reality and games
Citation
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Protiere, A., & Sapiro, G. (2007). Interactive image segmentation via adaptive weighted distances. IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, 16(4), 1046–1057. https://doi.org/10.1109/tip.2007.891796
Protiere, Alexis, and Guillermo Sapiro. “Interactive image segmentation via adaptive weighted distances.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society 16, no. 4 (April 2007): 1046–57. https://doi.org/10.1109/tip.2007.891796.
Protiere A, Sapiro G. Interactive image segmentation via adaptive weighted distances. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2007 Apr;16(4):1046–57.
Protiere, Alexis, and Guillermo Sapiro. “Interactive image segmentation via adaptive weighted distances.” IEEE Transactions on Image Processing : A Publication of the IEEE Signal Processing Society, vol. 16, no. 4, Apr. 2007, pp. 1046–57. Epmc, doi:10.1109/tip.2007.891796.
Protiere A, Sapiro G. Interactive image segmentation via adaptive weighted distances. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2007 Apr;16(4):1046–1057.
Published In
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
DOI
EISSN
1941-0042
ISSN
1057-7149
Publication Date
April 2007
Volume
16
Issue
4
Start / End Page
1046 / 1057
Related Subject Headings
- Sensitivity and Specificity
- Reproducibility of Results
- Pattern Recognition, Automated
- Information Storage and Retrieval
- Image Interpretation, Computer-Assisted
- Image Enhancement
- Artificial Intelligence & Image Processing
- Artificial Intelligence
- Algorithms
- 4607 Graphics, augmented reality and games