On integrated model for image filtering and segmenting based on structure statistic of decomposable markov network

Jiannong Cao, Yong Fang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

the removing of image noise, which is abnormity of pixels, is image filtering, and the key of problem is ascertaining the location of pixels with abnormity gray-level. The segmenting pixels with no-similar gray-level are image segmentation. Obviously, the abnormity gray-level is equal to no-similar gray-level in measurement of pixels. So a model integrated (namely Decomposable Markov Networks, for short, DMN), which not only can segment but also filter image, is put forward. The microcosmic configurations of DMN are obtained by computing pixels attribute (namely gray-level, texture and so on), and can firstly identify normal (namely including no-similar or similar gray-level) or abnormity gray-level (namely possible noise). The abilities of DMN identifying are realized by linking intension of networks, which derive a new uncertain complication (namely uncertain relations of microcosmic link) that is leaded by natural random factors of image data spatial distributing. So the macroscopical Structure Statistic of Decomposable Markov Network (SSDMN) can identify statistical abnormity gray-level (namely including no-similar [possible noise] and similar gray-level), and then filtering and segmenting image is implemented by a model integrated. Obviously, the DMN is facility of integration, and settles a difficult problem, which is uniting description of pixels numerical value and its spatial locations.
Original languageEnglish
Title of host publicationProceedings of 2009 4th International Conference on Computer Science and Education, ICCSE 2009
Pages107-112
Number of pages6
DOIs
Publication statusPublished - 4 Nov 2009
Externally publishedYes
Event2009 4th International Conference on Computer Science and Education, ICCSE 2009 - Nanning, China
Duration: 25 Jul 200928 Jul 2009

Conference

Conference2009 4th International Conference on Computer Science and Education, ICCSE 2009
CountryChina
CityNanning
Period25/07/0928/07/09

Keywords

  • Decomposable Markov Network
  • Image filtering
  • Image segmentation
  • Structure statistic

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Software

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