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20 August 1993 Adaptive direction filtering and continuous variable threshold image segmentation method for speckle pattern
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Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150157
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
Abstract
A new adaptive directional filtering and continuous variable threshold image segmentation method for speckle pattern is proposed in this paper. In accordance with its characteristics, a speckle pattern is first divided into several subimages, in which each only contains single direction's fringes, and then, these subimages are filtered respectively along the fringe's direction. Furthermore, the fringe enhancement method based on local statistical characteristics is used to improve fringe contrast. On the basis of the directional filtering and enhancement, a continuous variable threshold image segmentation method is presented, in which, a N X N subimage is divided into a lot of N X 7 or N X 9 narrow image regions perpendicular to local fringe direction, and then each region is segmented by a corresponding threshold curve. Because the threshold curves can follow fringe's extremum changes, it can avoid the effect of the inhomogeneous grey level distribution caused by diffraction halo and accurate segment fringe image. Moreover, binary directional filtering is made on the segmented speckle pattern.
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Yibing Yang and Zhenya He "Adaptive direction filtering and continuous variable threshold image segmentation method for speckle pattern", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150157
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