Edge enhancement and interpolation technique based on electric circuit simulation and its application to image segmentation

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Abstract

<jats:title>Abstract</jats:title><jats:p>Generally, in image segmentation or object extraction, the edge image of the target object has a substantial effect on the extraction accuracy. In this paper, we focus on the characteristics of the currents flowing in an electrical circuit and propose a technique to interpolate and enhance the edges of a still image by simulating this circuit behavior and apply this technique to image segmentation. The proposed technique constructs a resistor circuit by mapping the edge intensity of each point in the edge image to a resistance, applies a suitable voltage to this circuit, and determines the distribution of the flowing current. Based on the property that the current concentrates in the path that minimizes the sum of the resistances, the current distribution that was obtained is inversely transformed again into the edge intensities in order to enhance weak edges and interpolate broken edges. In several experiments, the proposed technique produced better results than other edge interpolation and enhancement techniques. And when used with the watershed algorithm, highly accurate segmentation was obtained. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(9): 22–33, 2003; Published online in Wiley InterScience (<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://www.interscience.wiley.com">www.interscience.wiley.com</jats:ext-link>). DOI 10.1002/ecjc.10085</jats:p>

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