Abstract
Distance transformation (DT) has been widely used for image matching and shape analysis. In this paper, a parallel algorithm for computing distance transformation is presented. First, it is shown that the algorithm has an execution time of 6N-4 cycles, for an N×N image using a parallel architecture that requires [N/2] parallel processors. By doing so, the real time requirement is fulfilled and its execution time is independent of the image contents. In addition, a partition method is developed to process an image when the parallel architecture has a fixed number of processing elements (PEs); say two or more. The total execution time for an N×N image by employing a fixed number of PEs is 2[N2/M+2(M-1)], when M is the fixed number of PEs.
Original language | English |
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Pages (from-to) | 73-81 |
Number of pages | 9 |
Journal | Information Processing Letters |
Volume | 82 |
Issue number | 2 |
DOIs | |
State | Published - 30 04 2002 |
Externally published | Yes |
Keywords
- Distance transformation
- Linear array
- Parallel processing
- Partition method