ORCID Profile
0000-0001-7220-0915
Current Organisation
Iowa State University
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 11-1998
Publisher: IEEE Comput. Soc. Press
Date: 1994
Publisher: John Wiley & Sons, Inc.
Date: 15-08-2006
Publisher: Springer Science and Business Media LLC
Date: 09-1995
DOI: 10.1007/BF01248371
Publisher: Cambridge University Press (CUP)
Date: 12-1994
DOI: 10.1017/S0001867800026641
Abstract: In this research, we present a statistical theory, and an algorithm, to identify one-pixel-wide closed object boundaries in gray-scale images. Closed-boundary identification is an important problem because boundaries of objects are major features in images. In spite of this, most statistical approaches to image restoration and texture identification place inappropriate stationary model assumptions on the image domain. One way to characterize the structural components present in images is to identify one-pixel-wide closed boundaries that delineate objects. By defining a prior probability model on the space of one-pixel-wide closed boundary configurations and appropriately specifying transition probability functions on this space, a Markov chain Monte Carlo algorithm is constructed that theoretically converges to a statistically optimal closed boundary estimate. Moreover, this approach ensures that any approximation to the statistically optimal boundary estimate will have the necessary property of closure.
Publisher: SPIE
Date: 20-06-1995
DOI: 10.1117/12.211359
Publisher: SPIE
Date: 10-1991
DOI: 10.1117/12.48387
Publisher: John Wiley & Sons, Inc.
Date: 15-10-2004
Publisher: SPIE
Date: 14-10-1997
DOI: 10.1117/12.279638
Publisher: Elsevier BV
Date: 09-1999
Publisher: SPIE
Date: 23-06-0001
DOI: 10.1117/12.146658
No related grants have been discovered for Jennifer Davidson, Newman.