Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method
Computer Vision and Pattern Recognition
Summary
The authors explain and create a Python version of a method originally by Rudolf Schraml and Andreas Uhl that estimates the center (pith) of rough log end images using a technique called Local Fourier Spectrum Analysis. They test how well this algorithm works on two different sets of images. This study focuses on implementing and validating an existing image analysis method in Python.
Authors
Henry Marichal, Diego Passarella, Gregory Randall
Abstract
In this article, we analyze and propose a Python implementation of the method "Pith Estimation on Rough Log End images using Local Fourier Spectrum Analysis", by Rudolf Schraml and Andreas Uhl. The algorithm is tested over two datasets.