A novel image transform based on potential-field source reverse for image analysis

Authors:
X. D. Zhuang;N. E. Mastorakis
Affiliations:
WSEAS Headquarters, Zografou, Athens, Greece and Automation and Engineering College, Qingdao University, Qingdao, China;WSEAS Headquarters, Zografou, Athens, Greece and Department of Computer Science, Military Institutions of University Education, Hellenic Naval Academy, Piraeus, Greece
Venue:
ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
Year:
2009

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Abstract

A novel source-reverse transform for digital images is presented for image structure representation and analysis based on an electro-static analogy. In this transform, the image is taken as the potential field and the virtual source is reversed imitating the Gauss's law. Region border detection is implemented based on the virtual field source representation of image structure. Moreover, the energy concentration property of this transform is investigated for promising application of lossy image compression. Experimental results prove that the source-reverse transform can obtain efficient representation of image structure, and has promising application in image processing tasks.