Automated petroglyph image segmentation with interactive classifier fusion

Authors:
Markus Seidl;Christian Breiteneder
Affiliations:
St. Pölten University of Applied Sciences, Austria;Vienna University of Technology, Austria
Venue:
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Year:
2012

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Abstract

The number of high quality images of rock panels containing petroglyphs grows steadily. Different time-consuming manual methods to determine and document the exact shapes and spatial locations of petroglyphs on a panel have been carried out over decades. The first step for classification and retrieval of petroglyphs is the segmentation of the images. In this paper, we present and evaluate an automated approach to segment petroglyph images.