Image thresholding by indicator kriging

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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 ∏0, a second fraction to ∏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.

Original languageEnglish
Pages (from-to)590-602
Number of pages13
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Issue number7
StatePublished - 1999


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