Automatic segmentation of cardiac cavity images using collinear and triangle equation

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. © Springer Science+Business Media B.V. 2010.