High resolution digital tissue image processing using texture image databases

Gábor Kiss, Orsolya Eszter Cseri, Ádám Altsach, István Imre Bándi, Levente Kovács, Miklos Kozlovszky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Texture based image databases integrated with effective searching algorithms are useful solutions for many scientific and industrial purposes. Medical image processing of high resolution tissue images is one of the areas, where the cell/tissue classification can rely on such solutions. In this paper we are describing the design, development and usage of a specialized medical texture image database. Our primary aim with this texture database is to provide Digital Imaging and Communication in Medicine (DICOM) compatible texture image dataset for cell, gland and epithelium classification in histology. Our solution includes a Picture Archiving and Communication System (PACS) subsystem, which is mainly provide a communication interface (texture image searching and retrieval) and enables image processing algorithms to work more effectively on high resolution tissue slide images. In this paper we describe how our Local Binary Pattern (LBP) based algorithm benefits texture database usage when solving image processing problems in histology and histopathology.

Original languageEnglish
Title of host publicationTechnological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings
EditorsLuis M. Camarinha-Matos, Thais A. Baldissera, Giovanni Di Orio, Francisco Marques
PublisherSpringer New York LLC
Pages239-247
Number of pages9
ISBN (Electronic)9783319167657
DOIs
Publication statusPublished - Jan 1 2015
Event6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015 - Costa de Caparica, Portugal
Duration: Apr 13 2015Apr 15 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume450
ISSN (Print)1868-4238

Other

Other6th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015
CountryPortugal
CityCosta de Caparica
Period4/13/154/15/15

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Keywords

  • DICOM
  • Digital microscopy
  • LBP
  • Medical image processing
  • PACS
  • Texture based image database

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Information Systems and Management

Cite this

Kiss, G., Cseri, O. E., Altsach, Á., Bándi, I. I., Kovács, L., & Kozlovszky, M. (2015). High resolution digital tissue image processing using texture image databases. In L. M. Camarinha-Matos, T. A. Baldissera, G. Di Orio, & F. Marques (Eds.), Technological Innovation for Cloud-Based Engineering Systems - 6th IFIPWG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2015, Proceedings (pp. 239-247). (IFIP Advances in Information and Communication Technology; Vol. 450). Springer New York LLC. https://doi.org/10.1007/978-3-319-16766-4_26