Image region segmentation based on the virtual edge current in digital images

Authors:
X. D. Zhuang;N. E. Mastorakis
Affiliations:
WSEAS Research Department, Athens, Greece;WSEAS Research Department, Athens, Greece and Department of Computer Science, Military Institutions of University Education, Hellenic Naval Academy, Piraeus, Greece
Venue:
NEHIPISIC'11 Proceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics
Year:
2011

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Abstract

The tangent edge vector is presented imitating the physical current element in a discrete form. The region-division feature of the magnetic field generated by tangent edge vectors on 2D plane is investigated experimentally for some simple test images. The virtual edge current in gray-scale images is presented by a magneto-static analogy, which is composed of the tangent edge vectors. The virtual magnetic field generated by the edge current in digital images is investigated experimentally, which is applied in region border detection and region division. A novel image segmentation method is proposed based on the discrete magnetic field generated by the virtual edge current. The experimental results prove the effectiveness of the proposed method, and also indicate the promising application of the physics-inspired methods in image processing tasks.