We propose MultiScale Singularity Trees (MSSTs) as a structure to represent images, and we propose an algorithm for image comparison based on comparing MSSTs. The algorithm is tested on 3 public image databases and compared to 2 state-of-theart methods. We conclude that the computational complexity of our algorithm only allows for the comparison of small trees, and that the results of our method are comparable with state-of-the-art using much fewer parameters for image representation.
Proceedings in Applied Mathematics and Mechanics, 2007, Vol 7, Issue 1
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6th International Congress on Industrial and Applied Mathematics (ICIAM), 2007