Identify and mark (with a red-box) occurrences of a given sub-image in a larger image
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The image search program must be designed to handle searching for matches using an image “mask”. An image mask is a black-and-white image that essentially represents a pattern to search for
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Once a region of the image has been matched, it must not be included as part of any other matches. For each matched region, draw a red box around the region.
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Design, implement, and validate suitable parallelization approach for this problem using OpenMP.
On the Ohio Supercomputing Center Pfizer cluster
| Component | Details |
|---|---|
| CPU Model | Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz |
| CPU/Core Speed | 2.40GHz |
| RAM | 200GB |
| Operating system used | Linux 3.10.0-1160.95.1.el7.x86_64 #1 SMP x86_64 x86_64 x86_64 GNU/Linux |
| Name and version of C++ compiler | gcc version 8.4.0 (GCC ) |
| Name and version of other non-standard software tools & components | OpenMP |
| Large Image | Mask | Detected Result |
|---|---|---|
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Performance Statistics
| #Threads | User Time (s) | Elapsed Time (s) | %CPU |
|---|---|---|---|
| 1 | 67.54 | 67.73 | 99% |
| 4 | 65.54 | 17.46 | 375% |
| 8 | 68.92 | 09.30 | 740% |
| Large Image | Mask | Detected Result |
|---|---|---|
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 |
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Performance Statistics
| #Threads | User Time (s) | Elapsed Time (s) | %CPU |
|---|---|---|---|
| 1 | 48.54 | 48.85 | 99% |
| 4 | 50.41 | 15.97 | 315% |
| 8 | 51.21 | 10.10 | 507% |