Abstract
This paper presents a methodology to automatically recognise impact craters on the surface of Mars. It consists of three main phases: in the first one the images are segmented through a PCA of statistical texture measures, followed by the enhancement of the selected contours; in a second phase craters are recognised through a template matching approach; in a third phase the rims of the plotted craters are locally fitted through the watershed transform.
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Barata, T., Alves, E.I., Saraiva, J., Pina, P. (2004). Automatic Recognition of Impact Craters on the Surface of Mars. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_60
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DOI: https://doi.org/10.1007/978-3-540-30126-4_60
Publisher Name: Springer, Berlin, Heidelberg
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