Active Contours for image segmentation using complex domain-based approach

Sajid Hussain, Chun Qi, Muhammad Rizwan Asif, Muhammad Sohrab Khan

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Abstract

A complex domain-based approach of active contour model has been proposed for image segmentation which deforms iteratively to partition an image into various useful regions. A new region-based complex pressure force function has been designed which gives shape to the dynamic active contour using image forces, and efficiently control the propagation of moving interface. This model makes the level set function binary, uses Gaussian smoothing kernel to regulate and avoid re-initialisation procedure. The working scheme of the model is as: the real image data is converted into complex data by iota (i) times and the average iota (i) times of horizontal and vertical components of gradient is inserted in the model to develop complete complex gradient. The proposed model can be implemented by simple finite difference scheme. The efficiency and robustness of the authors model have been verified.

Original languageEnglish
JournalIET Image Processing
Volume10
Issue2
Pages (from-to)121-129
Number of pages9
ISSN1751-9659
DOIs
Publication statusPublished - 21 Jan 2016
Externally publishedYes

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