3D shape from focus using LULU operators

作者: Roushanak Rahmat , Aamir Saeed Mallik , Nidla Kamel , Tae-Sun Choi , Monson H. Hayes

DOI: 10.1007/978-3-642-33140-4_21

关键词:

摘要: Extracting the shape of an object is one important tasks to be performed in many vision applications. One difficult challenges 3D extraction roughness surfaces objects. Shape from focus (SFF) a recovery method that reconstructs sequence images taken same viewpoint but with different focal lengths. This paper proposes use LULU operators as preprocessing step improve signal-to-noise ratio estimation focus. are morphological filters used for their structure preserving properties. The proposed technique tested on simulated and real separately, well combination traditional SFF methods such sum modified Laplacian (SML), gray level variance (GLV). presence impulse noise levels. Based quantitative qualitative experimental results it shown techniques more accurate value noise.

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