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http://dx.doi.org/10.3745/KTSDE.2017.6.1.23

A New Focus Measure Method Based on Mathematical Morphology for 3D Shape Recovery  

Mahmood, Muhammad Tariq (한국기술교육대학교 컴퓨터공학부)
Choi, Young Kyu (한국기술교육대학교 컴퓨터공학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.6, no.1, 2017 , pp. 23-28 More about this Journal
Abstract
Shape from focus (SFF) is a technique used to reconstruct 3D shape of objects from a sequence of images obtained at different focus settings of the lens. In this paper, a new shape from focus method for 3D reconstruction of microscopic objects is described, which is based on gradient operator in Mathematical Morphology. Conventionally, in SFF methods, a single focus measure is used for measuring the focus quality. Due to the complex shape and texture of microscopic objects, single measure based operators are not sufficient, so we propose morphological operators with multi-structuring elements for computing the focus values. Finally, an optimal focus measure is obtained by combining the response of all focus measures. The experimental results showed that the proposed algorithm has provided more accurate depth maps than the existing methods in terms of three-dimensional shape recovery.
Keywords
Shape from Focus; Mathematical Morphology; Focus Measure; Depth Map;
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