ALVINN: an autonomous land vehicle in a neural network
Advances in neural information processing systems 1
An algorithm for automatically fitting digitized curves
Graphics gems
Foundations of neural networks
Foundations of neural networks
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Practical neural network recipes in C++
Practical neural network recipes in C++
Curve fitting with Be´zier cubics
Graphical Models and Image Processing
Shape description using cubic polynomial Bezier curves
Pattern Recognition Letters
Curve Fitting with Conic Splines
ACM Transactions on Graphics (TOG)
Grokking the Gimp
Gimp the Official Handbook with Cdrom
Gimp the Official Handbook with Cdrom
Curve-fitting with piecewise parametric cubics
SIGGRAPH '83 Proceedings of the 10th annual conference on Computer graphics and interactive techniques
Interactive Data Interpolation by Rational Bezier Curves
IEEE Computer Graphics and Applications
| Hi-index | 0.00 |
Historical seismograms contain a rich harvest of information useful for the study of past earthquakes. It is necessary to extract this information by digitising the analogue records if modern analysis is required. Teseo has been developed for quick and accurate digitisation of seismogram traces from raster files, introducing a vectorisation step based on piecewise cubic Bezier curves. The vectoriser can handle greyscale images stored in a suitable file format and it offers three concurrent vectorisation methods: manual, automatic by colour selection, and automatic by neural networks. The software that implements the methods described is distributed with open source license.