Abstract
This paper presents a new method for orientation measurement of fibrous objects distributed in 3D space. In the method based on digital holography, candidate object points are detected from reconstructed volume of light intensity from observed hologram patterns, and then the candidate points are clustered for each fibrous object with a self-organization algorithm. Several fibers can be separately recognized in the present method. Performance is evaluated by numerical simulation and experiment to show the reliability of the present method.
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