Inproceedings,

Segmentation of Ancient Coins Based on Local Entropy and Gray Value Range

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Computer Vision Winter Workshop 2008, Slovenian Pattern Recognition Society, (2008)

Abstract

Numismatics deals with various historical aspects of the phenomenon Money. Fundamental part of a numismatists work is the identification and classification of coins according to standard reference books. Prior to any analysis a coin image has to be segmented into two areas: the area depicting the coin and the area belonging to the background. In this paper, we focus on the segmentation task as a preprocessing step for any automated coin identification system. We present a simple and fast method for coin segmentation, based on local entropy and gray value range. Results of the algorithms developed are shown for an image database of ancient coins.

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