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Adv Exp Med Biol. 2011;696:481-8. doi: 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.

Author information

1
Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. riyanto@eepis-its.edu

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.

PMID:
21431588
DOI:
10.1007/978-1-4419-7046-6_48
[Indexed for MEDLINE]

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