Abstract
Region selection algorithm for auto-focusing method based on depth from focus plays an important role in obtaining a high-quality image. A novel algorithm is proposed after analyzing different region selection algorithms. Firstly, the gradient image is obtained through Scharr operator with improved templates. Then the region with maximum accumulation value is selected as the final auto-focusing region based on global searching with fixed step. The experiments show that the proposed algorithm is more accurate compared with other algorithms.
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Acknowledgement
This work is partially supported by the Research Project from the Education Department of Fujian Province (JK2015031) and the Research Project from Fujian University of Technology (GY-Z160038).
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Chen, J., Chen, D.Q., Meng, S.H. (2018). A Novel Region Selection Algorithm for Auto-focusing Method Based on Depth from Focus. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_11
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DOI: https://doi.org/10.1007/978-3-319-68527-4_11
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