Active Contour Segmentation using Level Sets

R.Baskaran

doi:https://doi.org/10.14445/22315373/IJMTT-V57P501

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 57 | Number 1 | Year 2018 | Article Id. IJMTT-V57P501 | DOI : https://doi.org/10.14445/22315373/IJMTT-V57P501

Active Contour Segmentation using Level Sets

R.Baskaran

Citation :

R.Baskaran, "Active Contour Segmentation using Level Sets," International Journal of Mathematics Trends and Technology (IJMTT), vol. 57, no. 1, pp. 1-8, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V57P501

Abstract

A new frame work for accurate extraction of object boundary from back ground for cell nucleus segmentation of cervical cancer images is proposed in this work. This method is a new region grid algorithm for the fast evolution of level-set-based geometric active contours and compares it with other established numerical schemes. Geometric active contour models are very popular partial differential equation-based tools in object boundary extraction. This algorithm overcomes the drawback associated with the implementation of implicit schemes. The proposed system is more accurate compared with alternate split schemes. The region grid is formed by image gradient magnitude and directional information. The combined algorithm allows for the rapid evolution of the contour and convergence to its final configuration after very little iteration. The experiments demonstrate the efficiency and accuracy of the method.

Keywords

Active contour, Level set, Segmentation parametric method, Geometric method

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