6533b82efe1ef96bd1293d63

RESEARCH PRODUCT

Curvelet-based method for orientation estimation of particles

Samuli SiltanenMatti LassasArttu MiettinenJussi TimonenJouni SampoJouni Takalo

subject

ta114Orientation (computer vision)business.industryComputer science010102 general mathematicsReal image01 natural sciences030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineDistribution (mathematics)WaveletComputer Science::Computer Vision and Pattern RecognitionCurveletComputer visionArtificial intelligenceTomography0101 mathematicsbusinessRepresentation (mathematics)Anisotropy

description

A method based on the curvelet transform is introduced for estimating from two-dimensional images the orientation distribution of small anisotropic particles. Orientation of fibers in paper is considered as a particular application of the method. Theoretical aspects of the suitability of this method are discussed and its efficiency is demonstrated with simulated and real images of fibrous systems. Comparison is made with two traditionally used methods of orientation analysis, and the new curvelet-based method is shown to perform clearly better than these traditional methods.

10.1117/12.2025342https://doi.org/10.1117/12.2025342