Generalized Laplacian as Focus Measure

Authors:
Muhammad Riaz;Seungjin Park;Muhammad Bilal Ahmad;Waqas Rasheed;Jongan Park
Affiliations:
School of Information & Communications Engineering, Chosun University, South Korea 501-759;Dept of Biomedical Engineering, Chonnam National University Hospital, Kwangju, South Korea;School of Information & Communications Engineering, Chosun University, South Korea 501-759;School of Information & Communications Engineering, Chosun University, South Korea 501-759;School of Information & Communications Engineering, Chosun University, South Korea 501-759
Venue:
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Year:
2008

Citing 6
Cited 0

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Abstract

Shape from focus (SFF) uses focus measure operator for depth measurement from a sequence of images. From the analysis of defocused image, it is observed that the focus measure operator should respond to high frequency variations of image intensity and produce maximum values when the image is perfectly focused. Therefore, an effective focus measure operator must be a high-pass filter. Laplacian is mostly used as focus measure operator in the previous SFF methods. In this paper, generalized Laplacian is used as focus measure operator for better 3D shape recovery of objects.