Abstract
This paper presents a performance evaluation of phase-shifting digital holographic method for fibrous object in 3D space. The performance is evaluated in number of detected fibrous objects in comparison with that of the method without a phase-shifting technique. Fibrous objects are represented by the candidate points detected in a reconstructed volume, and then the candidate points are clustered with self-organization algorithm to separately recognize each fibrous object. In numerical simulation, it is found that the accuracy of the present method in fibrous object detection is better than that of conventional inline digital holographic method.
