Sensors, Vol. 19, Pages 2389: Performance and Analysis of Feature Tracking Approaches in Laser Speckle Instrumentation

Sensors, Vol. 19, Pages 2389: Performance and Analysis of Feature Tracking Approaches in Laser Speckle Instrumentation Sensors doi: 10.3390/s19102389 Authors: Thomas Charrett Ralph Tatam This paper investigates the application of feature tracking algorithms as an alternative data processing method for laser speckle instrumentation. The approach is capable of determining both the speckle pattern translation and rotation and can therefore be used to detect the in-plane rotation and translation of an object simultaneously. A performance assessment of widely used feature detection and matching algorithms from the computer vision field, for both translation and rotation measurements from laser speckle patterns, is presented. The accuracy of translation measurements using the feature tracking approach was found to be similar to that of correlation-based processing with accuracies of 0.025–0.04 pixels and a typical precision of 0.02–0.09 pixels depending upon the method and image size used. The performance for in-plane rotation measurements are also presented with rotation measurement accuracies of <0.01 found to be achievable over an angle range of ±10 and of <0.1 over a range of ± 25 , with a typical precision between 0.02 and 0.08 depending upon method and image size. The measurement range is found to be limited by the failure to match sufficient speckles at larger rotation angles. An ana...
Source: Sensors - Category: Biotechnology Authors: Tags: Article Source Type: research