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.
CITATION STYLE
Jiang, H., Liu, J., Luo, K., Hu, W., & Liu, X. (2015). Implementation of 3-D RDPAD algorithm on follicle images based CUDA. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9226, pp. 177–184). Springer Verlag. https://doi.org/10.1007/978-3-319-22186-1_18
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