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Image thresholding by indicator kriging
Abstract
We consider the problem of segmenting a digitized image consisting of two univariate populations. Assume a priori knowledge allows incomplete assignment of voxels in the image, in the sense that a fraction of the voxels can be identified as belonging to population II/sub 0/, a second fraction to II/sub 1/, and the remaining fraction have no a priori identification. Based upon estimates of the short length scale spatial covariance of the image, we develop a method utilizing indicator kriging to complete the image segmentation.
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Cited by
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Metadata
- Authors
- Oh, W., & Lindquist, B.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1999-07
- Volume
- 21
- Issue
- 7
- Pages
- 590-602
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2140762031
- Cited by
- 415
- References
- 0
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Oh, W., & Lindquist, B. (1999). Image thresholding by indicator kriging. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.777370
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