On the use of collinear and triangle equation for automatic segmentation and boundary detection of cardiac cavity images

Riyanto Sigit, Mohd Marzuki Mustafa, Aini Hussain, Oteh Maskon, Ika Faizura Mohd Nor

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

7 Citations (Scopus)

Abstract

In this chapter, the computational biology of cardiac cavity images is proposed. The method uses collinear and triangle equation algorithms to detect and reconstruct the boundary of the cardiac cavity. The first step involves high boost filter to enhance the high frequency component without affecting the low frequency component. Second, the morphological and thresholding operators are applied to the image to eliminate noise and convert the image into a binary image. Next, the edge detection is performed using the negative Laplacian filter and followed by region filtering. Finally, the collinear and triangle equations are used to detect and reconstruct the more precise cavity boundary. Results obtained have proved that this technique is able to perform better segmentation and detection of the boundary of cardiac cavity from echocardiographic images.

Original languageEnglish
Title of host publicationAdvances in Experimental Medicine and Biology
Pages481-488
Number of pages8
Volume696
DOIs
Publication statusPublished - 2011

Publication series

NameAdvances in Experimental Medicine and Biology
Volume696
ISSN (Print)00652598

Fingerprint

Binary images
Edge detection
Computational Biology
Noise

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Sigit, R., Mustafa, M. M., Hussain, A., Maskon, O., & Nor, I. F. M. (2011). On the use of collinear and triangle equation for automatic segmentation and boundary detection of cardiac cavity images. In Advances in Experimental Medicine and Biology (Vol. 696, pp. 481-488). (Advances in Experimental Medicine and Biology; Vol. 696). https://doi.org/10.1007/978-1-4419-7046-6_48

On the use of collinear and triangle equation for automatic segmentation and boundary detection of cardiac cavity images. / Sigit, Riyanto; Mustafa, Mohd Marzuki; Hussain, Aini; Maskon, Oteh; Nor, Ika Faizura Mohd.

Advances in Experimental Medicine and Biology. Vol. 696 2011. p. 481-488 (Advances in Experimental Medicine and Biology; Vol. 696).

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

Sigit, R, Mustafa, MM, Hussain, A, Maskon, O & Nor, IFM 2011, On the use of collinear and triangle equation for automatic segmentation and boundary detection of cardiac cavity images. in Advances in Experimental Medicine and Biology. vol. 696, Advances in Experimental Medicine and Biology, vol. 696, pp. 481-488. https://doi.org/10.1007/978-1-4419-7046-6_48
Sigit R, Mustafa MM, Hussain A, Maskon O, Nor IFM. On the use of collinear and triangle equation for automatic segmentation and boundary detection of cardiac cavity images. In Advances in Experimental Medicine and Biology. Vol. 696. 2011. p. 481-488. (Advances in Experimental Medicine and Biology). https://doi.org/10.1007/978-1-4419-7046-6_48
Sigit, Riyanto ; Mustafa, Mohd Marzuki ; Hussain, Aini ; Maskon, Oteh ; Nor, Ika Faizura Mohd. / On the use of collinear and triangle equation for automatic segmentation and boundary detection of cardiac cavity images. Advances in Experimental Medicine and Biology. Vol. 696 2011. pp. 481-488 (Advances in Experimental Medicine and Biology).
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