Experimental evaluation of image segmentation for heart images
by R. Merjulah; J. Chandra
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 15, No. 2/3, 2021

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.

Online publication date: Thu, 19-Aug-2021

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