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MRT letter: Recovering weak‐textured surfaces using image focus
Author(s) -
Muhammad Mannan Saeed,
Choi TaeSun
Publication year - 2009
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.20768
Subject(s) - focus (optics) , computer vision , image (mathematics) , artificial intelligence , texture (cosmology) , materials science , computer science , geology , mathematics , optics , physics
In nature, objects have partially weak texture and their shape reconstruction using focus based passive methods like shape from focus (SFF), is difficult. This article presents a new SFF algorithm which can compute precise depth of dense as well as weak textured objects. Segmentation is applied to discard wrong depth estimate and then later interpolating them from accurate depth values of their neighbors. The performance of the proposed method is tested, using different image sequences of synthetic and real objects, with varying textures. Microsc. Res. Tech., 2009. © 2009 Wiley‐Liss, Inc.