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Angle estimation using Hahn moments for image analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2014) 8827 127-134
DOI: 10.1007/978-3-319-12568-8_16
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Abstract

We present a new approach for angle estimation in binary images from Hahn moments, which provide an approximate estimate with short computational times. The method proposed retrieving the angle formed from a reference point to another, through a multiple linear regression and a set of Hahn moments obtained in a training database. Finally, we discuss the performance analysis of our approach under noise conditions and scale change.

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Camacho-Bello, C., & Báez-Rojas, J. J. (2014). Angle estimation using Hahn moments for image analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8827, pp. 127–134). Springer Verlag. https://doi.org/10.1007/978-3-319-12568-8_16

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