Active contours for image segmentation using complex domain-based approach

作者：Hussain, Sajid; Chun, Qi^*; Asif, Muhammad Rizwan; Khan, Muhammad Sohrab

来源：IET Image Processing, 2016, 10(2): 121-129.

DOI：10.1049/iet-ipr.2014.0730

• image segmentation
• Gaussian processes
• image segmentation
• complex domain based approach
• active contour model
• pressure force function
• dynamic active contour
• image forces
• Gaussian smoothing kernel
• complex data
• average iota
• simple finite difference scheme

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.

• 出版日期2016-2
• 单位西安交通大学