Study of visual processing techniques for dynamic speckles: a comparative analysis
This work provides a comparative analysis for researchers in optical metrology or materials science, but it is incremental as it evaluates existing methods on a specific sample.
The study compared several visual processing techniques for analyzing dynamic speckle patterns, concluding that the structural function (SF) based method is optimal for visual inspection of natural gum samples.
Main visual techniques used to obtain information from speckle patterns are Fujii method, generalized difference, weighted generalized difference, mean windowed difference, structural function (SF), modified SF, etc. In this work, a comparative analysis of major visual techniques for natural gum sample is carried out. Obtained results conclusively establish SF based method as an optimum tool for visual inspection of dynamic speckle data.