arXiv Open Access 2019

Geometry of the Hough transforms with applications to synthetic data

Mauro C. Beltrametti Cristina Campi Anna Maria Massone Maria-Laura Torrente
Lihat Sumber

Abstrak

In the framework of the Hough transform technique to detect curves in images, we provide a bound for the number of Hough transforms to be considered for a successful optimization of the accumulator function in the recognition algorithm. Such a bound is consequence of geometrical arguments. We also show the robustness of the results when applied to synthetic datasets strongly perturbed by noise. An algebraic approach, discussed in the appendix, leads to a better bound of theoretical interest in the exact case.

Topik & Kata Kunci

Penulis (4)

M

Mauro C. Beltrametti

C

Cristina Campi

A

Anna Maria Massone

M

Maria-Laura Torrente

Format Sitasi

Beltrametti, M.C., Campi, C., Massone, A.M., Torrente, M. (2019). Geometry of the Hough transforms with applications to synthetic data. https://arxiv.org/abs/1904.02587

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓