Journal article 892 views 376 downloads
A Work Efficient Parallel Algorithm for Exact Euclidean Distance Transform
Manduhu Manduhu,
Mark Jones 
IEEE Transactions on Image Processing, Volume: 28, Issue: 11, Pages: 5322 - 5335
Swansea University Author:
Mark Jones
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DOI (Published version): 10.1109/TIP.2019.2916741
Abstract
A fully-parallelized work-time optimal algorithm is presented for computing the exact Euclidean Distance Transform (EDT) of a 2D binary image with the size of n x n. Unlike existing PRAM and other algorithms, this algorithm is suitable for implementation on modern SIMD architectures such as GPUs. As...
| Published in: | IEEE Transactions on Image Processing |
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| ISSN: | 1057-7149 1941-0042 |
| Published: |
2019
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa50104 |
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| Abstract: |
A fully-parallelized work-time optimal algorithm is presented for computing the exact Euclidean Distance Transform (EDT) of a 2D binary image with the size of n x n. Unlike existing PRAM and other algorithms, this algorithm is suitable for implementation on modern SIMD architectures such as GPUs. As a fundamental operation of 2D EDT, 1D EDT is efficiently parallelized first. Specifically, the GPU algorithm for the 1D EDT, which uses CUDA binary functions such as ballot(), ffs(), clz() and shfl(), runs in O(log_32n) time and performs O(n) work. Using the 1D EDT as a fundamental operation, the fully parallelized work-time optimal 2D EDT algorithm is designed. This algorithm consists of three steps. Step 1 of the algorithm runs in O(log_32n) time and performs O(N) (N=n^2) of total work on GPU. Step 2 performs O(N) of total work and has an expected time complexity of O(logn) on GPU. Step 3 runs in O(log_32n) time and performs O(N) of total work on GPU. As far as we know, this algorithm is the first fully-parallelized and realized work-time optimal algorithm for GPUs. Experimental results show that this algorithm outperforms prior state-of-the-art GPU algorithms. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
11 |
| Start Page: |
5322 |
| End Page: |
5335 |