Title :
Image thresholding by indicator kriging
Author :
Oh, Wonho ; Lindquist, W.Brent
Author_Institution :
Dept. of Appl. Math. & Stat., State Univ. of New York, Stony Brook, NY, USA
fDate :
7/1/1999 12:00:00 AM
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 0, a second fraction to II1, 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
Keywords :
computer vision; image segmentation; probability; statistical analysis; digitized image; image segmentation; image thresholding; indicator kriging; probability; spatial covariance; voxels; Image edge detection; Image segmentation; Laser noise; Microscopy; Optical materials; Shape; Synchrotrons; Tomography; X-ray imaging; X-ray lasers;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
