Title: Experimental evaluation of image segmentation for heart images

Authors: R. Merjulah; J. Chandra

Addresses: CHRIST (Deemed to be University), Hosur Road, Bangalore – 560029, India ' CHRIST (Deemed to be University), Hosur Road, Bangalore – 560029, India

Abstract: The cardiac death is the principal reason of the death in the world. The research work focuses on finding an efficient image segmentation technique for the computer aided detection and also to decrease the noise in the image. The segmentation is implemented with the help of fuzzy C-means clustering along with dual inverse thresholding function and Otsu thresholding. Experimental proof is evaluated with the help of morphological functions and with Gaussian function. The result of the work provides an accurate segmentation for myocardial ischemia in the human heart photo image as well as magnetic resonance imaging.

Keywords: fuzzy C-means; FCM; segmentation; dual inverse thresholding; Otsu thresholding; cardiac MR images; cardiac photo; morphological functions; Gaussian function.

DOI: 10.1504/IJCAET.2021.117137

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.2/3, pp.269 - 280

Received: 18 Sep 2018
Accepted: 21 Dec 2018
Published online: 19 Aug 2021 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article