LAUSR

Recently, the deterministic partially self-avoiding walk was proposed as an approach for texture characterization. Unfortunately, tourist walk is subjected to different parameters and these parameters may influence its performance. Although the influence of some parameters is well known, there is a lack of information concerning about the influence of the neighbor set used during the walk. As our contribution, we investigated the influence of the neighbor set, thus providing a better understanding on how neighborhood affects the method’s ability to characterize texture samples. To accomplish that, we evaluated three different types of neighborhood and how the radius value used to generate each neighborhood affects the method’s performance.