Automatic segmentation of cardiac cavity images using collinear and triangle equation

Riyanto Sigit, Mohd. Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd Noh

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

1 Citation (Scopus)

Abstract

Automatic segmentation of cardiac cavity images using collinear and triangle equation algorithms to detect and reconstruct the boundary of cardiac cavity is afforded in this paper. Firstly, high boost filtering is used to enhance the high frequency component without affecting the low frequency component. Next, to eliminate noise and convert the image into binary format, the morphological and thresholding operators are applied to the image. Then, using negative Laplacian filter followed by region filtering, the edge detection is performed. Finally, the collinear and triangle equations are used to detect and reconstruct the more precise cavity boundary. Results obtained showed an improvement in the detection boundary of cardiac cavity which implies the suitability of the proposed technique in performing the boundary detection task of cardiac cavity from echocardiographic images.

Original languageEnglish
Title of host publicationTechnological Developments in Networking, Education and Automation
Pages351-355
Number of pages5
DOIs
Publication statusPublished - 2010
Event2009 Int. Conf. on Telecommunications and Networking, TENE 2009, EIAE 2009, and IETA 2009, Part of the Int. Jt. Conf. on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009 -
Duration: 4 Dec 200912 Dec 2009

Other

Other2009 Int. Conf. on Telecommunications and Networking, TENE 2009, EIAE 2009, and IETA 2009, Part of the Int. Jt. Conf. on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009
Period4/12/0912/12/09

Fingerprint

Binary images
Edge detection
segmentation

Keywords

  • Cardiac cavity
  • Collinear and triangle equation
  • High boost filter
  • Morphology
  • Negative Laplacian
  • Region filter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Education

Cite this

Sigit, R., Mustafa, M. M., Hussain, A., Maskon, O., & Noh, I. F. M. (2010). Automatic segmentation of cardiac cavity images using collinear and triangle equation. In Technological Developments in Networking, Education and Automation (pp. 351-355) https://doi.org/10.1007/978-90-481-9151-2-61

Automatic segmentation of cardiac cavity images using collinear and triangle equation. / Sigit, Riyanto; Mustafa, Mohd. Marzuki; Hussain, Aini; Maskon, Oteh; Noh, Ika Faizura Mohd.

Technological Developments in Networking, Education and Automation. 2010. p. 351-355.

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

Sigit, R, Mustafa, MM, Hussain, A, Maskon, O & Noh, IFM 2010, Automatic segmentation of cardiac cavity images using collinear and triangle equation. in Technological Developments in Networking, Education and Automation. pp. 351-355, 2009 Int. Conf. on Telecommunications and Networking, TENE 2009, EIAE 2009, and IETA 2009, Part of the Int. Jt. Conf. on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009, 4/12/09. https://doi.org/10.1007/978-90-481-9151-2-61
Sigit R, Mustafa MM, Hussain A, Maskon O, Noh IFM. Automatic segmentation of cardiac cavity images using collinear and triangle equation. In Technological Developments in Networking, Education and Automation. 2010. p. 351-355 https://doi.org/10.1007/978-90-481-9151-2-61
Sigit, Riyanto ; Mustafa, Mohd. Marzuki ; Hussain, Aini ; Maskon, Oteh ; Noh, Ika Faizura Mohd. / Automatic segmentation of cardiac cavity images using collinear and triangle equation. Technological Developments in Networking, Education and Automation. 2010. pp. 351-355
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