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


KIPS Transactions on Software and Data Engineering, Vol. 6, No. 1, pp. 23-28, Jan. 2017
10.3745/KTSDE.2017.6.1.23,   PDF Download:
Keywords: Shape from Focus, Mathematical Morphology, Focus Measure, Depth Map
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.


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Cite this article
[IEEE Style]
M. T. Mahmood and Y. K. Choi, "A New Focus Measure Method Based on Mathematical Morphology for 3D Shape Recovery," KIPS Transactions on Software and Data Engineering, vol. 6, no. 1, pp. 23-28, 2017. DOI: 10.3745/KTSDE.2017.6.1.23.

[ACM Style]
Muhammad Tariq Mahmood and Young Kyu Choi. 2017. A New Focus Measure Method Based on Mathematical Morphology for 3D Shape Recovery. KIPS Transactions on Software and Data Engineering, 6, 1, (2017), 23-28. DOI: 10.3745/KTSDE.2017.6.1.23.