The curling vector field transform of gray-scale images: a magneto-static inspired approach

Authors:
X. D. Zhuang;N. E. Mastorakis
Affiliations:
WSEAS Headquarters, Agiou Ioannou Theologou, Zografou, Athens, Greece;WSEAS Headquarters, Agiou Ioannou Theologou, Zografou, Athens, Greece and Department of Computer Science, Military Institutions of University Education, Hellenic Naval Academy, Terma Hatzikyriakou ...
Venue:
WSEAS Transactions on Computers
Year:
2008

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Abstract

For image structure representation and feature extraction, the curling vector field transform is proposed based on the magneto-static analogy. The digital image is taken as the source of the vector field, and the vector field transform of the image is presented imitating the form of the physical magnetic field, which has a distinctive feature of rotating whorl pattern. The simulation results indicate that the curling vector field can represent the image's structure feature, which can be applied in image segmentation. The experimental results show that image segmentation can be effectively implemented based on the image structure feature extracted by the curling vector field transform.