The Library
An approach to reducing the labeling cost of Markov random fields within an infinite label space
Tools
Li, Chang-Tsun (2001) An approach to reducing the labeling cost of Markov random fields within an infinite label space. Signal Processing: Image Communication, Volume 81 (Number 3). pp. 609-620. doi:10.1016/S0165-1684(00)00235-8 ISSN 0923-5965.
PDF
research/pcav/improc/pubs/li2001.pdf - Published Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (507Kb) |
Official URL: http://dx.doi.org/10.1016/S0165-1684(00)00235-8
Abstract
This work proposes a novel idea, called SOIL, for reducing the computational complexity of the maximum a posteriori optimization problem using Markov random fields (MRFs). The local characteristics of MRFs are employed so that the searching in a virtually infinite label space is confined in a small finite space. Globally, the number of labels allowed is as many as the number of image sites while locally the optimal label is sampled from a space consisting of the labels assigned to the four-neighbor plus a random one. Neither the prior knowledge about the number of classes nor the estimation phase of the class number is required in this work. The proposed method is applied to the problem of texture segmentation and the result is compared with those obtained from conventional methods.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Signal Processing: Image Communication | ||||
Publisher: | Elsevier Science Inc | ||||
ISSN: | 0923-5965 | ||||
Official Date: | March 2001 | ||||
Dates: |
|
||||
Volume: | Volume 81 | ||||
Number: | Number 3 | ||||
Page Range: | pp. 609-620 | ||||
DOI: | 10.1016/S0165-1684(00)00235-8 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 28 July 2016 |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |