CVMar 14
Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method
arXiv:2603.141270.4h-index: 3
AI Analysis
This work addresses the problem of automating wood quality assessment for forestry or timber industries, but it is incremental as it focuses on implementing and discussing a pre-existing method.
The authors implemented and tested an existing method for pith estimation in rough log end images using local Fourier spectrum analysis, evaluating it on two datasets.
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.