Abstract
The 3-D Robust Detail Preserving Anisotropic Diffusion (3-D RDPAD) is an anisotropic diffusion which has many advantages on 3-D ultrasound image processing, especially in 3-D cattle follicle ultrasound Images. The 3-D RDPAD algorithm has good performance both in noise suppression and edge preserving. However, the computation of 3-D RDPAD algorithm requires a huge amount of time to complete because it directly operates on the 3-D image and it has logical judgment in every iteration. In this paper, we proposed a 3-D Parallel RDPAD algorithm using CUDA to solve this problem. By optimizing the logical judgment in diffusion stop condition, the speed of 3-D RDPAD algorithm has a notable improvement. We performed our algorithm on 3-D cattle follicle ultrasound Images and the result of the experiments showed that it revealed a great speedup over the original 3-D RDPAD.
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Acknowledgement
This work was supported by the National Natural Science Foundation of China (Grant No. 31201121, NO. 61373109 and NO. 61403287), the Natural Science Foundation of Hubei Province (Grant No 2014CFB288) and Open foundation of Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System (Grant No. ZNSS2013A001 and ZNSS2013A004).
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© 2015 Springer International Publishing Switzerland
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Jiang, H., Liu, J., Luo, K., Hu, W., Liu, X. (2015). Implementation of 3-D RDPAD Algorithm on Follicle Images Based CUDA. In: Huang, DS., Jo, KH., Hussain, A. (eds) Intelligent Computing Theories and Methodologies. ICIC 2015. Lecture Notes in Computer Science(), vol 9226. Springer, Cham. https://doi.org/10.1007/978-3-319-22186-1_18
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DOI: https://doi.org/10.1007/978-3-319-22186-1_18
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