Automated Petroglyph Image Segmentation with Interactive Classifier Fusion

By Markus Seidl and Christian Breiteneder

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 petrogyphs 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.

Reference

M. Seidl, C. Breiteneder: "Automated Petroglyph Image Segmentation with Interactive Classifier Fusion"; Poster: Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Mumbai, India; 12-16-2012 - 12-19-2012; in: "Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)", (2012).

BibTeX

@inproceedings{TUW-216650,     author = {Seidl, Markus and Breiteneder, Christian},     title = {Automated Petroglyph Image Segmentation with Interactive Classifier Fusion},     booktitle = {Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP)},     year = {2012},     doi = {10.1145/2425333.2425400},     keywords = {Image segmentation, experimental sutdy, pixel classification, image features, pattern recognition, rock art, petroglyphs},     note = {poster presentation: Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Mumbai, India; 2012-12-16 -- 2012-12-19} } Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.