DOAJ Open Access 2020

Variational level set image segmentation model coupled with kernel distance function

Noor Badshah Ali Ahmad Fazli Rehman

Abstrak

One of the crucial challenges in the area of image segmentation is intensity inhomogeneity. For most of the region-based models, it is not easy to completely segment images having severe intensity inhomogeneity and complex structure, as they rely on intensity distributions. In this work, we proposed a firsthand hybrid model by blending kernel and Euclidean distance metrics. Experimental results on some real and synthetic images suggest that our proposed model is better than models of Chan and Vese, Wu and He, and Salah et al.

Topik & Kata Kunci

Applied mathematics. Quantitative methods Mathematics

Penulis (3)

Noor Badshah

Ali Ahmad

Fazli Rehman

Format Sitasi

APA MLA BibTeX

Badshah, N., Ahmad, A., Rehman, F. (2020). Variational level set image segmentation model coupled with kernel distance function. https://doi.org/10.1177/1748302620931421

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Informasi Jurnal

Tahun Terbit: 2020
Sumber Database: DOAJ
DOI: 10.1177/1748302620931421
Akses: Open Access ✓