CVApr 8
On the Uphill Battle of Image frequency Analysis
arXiv:2604.0756313.1h-index: 27
AI Analysis
This is an incremental improvement for image analysis researchers.
The paper investigates the three-dimensional Fast Fourier Transform of images to find hidden patterns, building on the Inverse Square Mean Shift Algorithm by formulating a special case for non-homogenous data.
This work is a follow up on the newly proposed clustering algorithm called The Inverse Square Mean Shift Algorithm. In this paper a special case of algorithm for dealing with non-homogenous data is formulated and the three dimensional Fast Fourier Transform of images is investigated with the aim of finding hidden patterns.