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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Thamrin, N.M. Haron, M.A. Ruslan, F.A. |
| Copyright Year | 2011 |
| Description | Author affiliation: Faculty of Electrical Engineering, UiTM Malaysia, 40450 Shah Alam, Selangor, Malaysia (Thamrin, N.M.; Haron, M.A.; Ruslan, F.A.) |
| Abstract | Medical imaging has become essential in health industry. It becomes crucial during on-line or off-line data transmission between healthcare institutions. Larger image requires more spaces to be saved and more time to be loaded. Thus, in this paper, an artificial neural network is chosen to quantize the image into smaller number of colour palettes to reduce its size. A modified Kohonen Self-Organizing Maps algorithm is applied for hardware implementation. The Euclidean calculation in typical Kohonen algorithm is replaced with Manhattan Distance calculation to accelerate the computation in hardware implementation. In this research, the KSOM Processing Element CoProcessor hardware implementation, it consists of two main modules namely Datapath Unit (DPU) module and Control Unit (CU) module. The coprocessor is tested with one RGB colour input and three initial weights or desired palettes with three iterations. From the simulation testing, it took 480 nanoseconds to complete three iterations. |
| Starting Page | 187 |
| Ending Page | 191 |
| File Size | 833514 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612844145 |
| e-ISBN | 9781612844138 |
| DOI | 10.1109/CSPA.2011.5759870 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-03-04 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Quantization Hardware Field Programmable Gate Array-based biomedical application Medical Imaging Copper Field programmable gate arrays Kohonen Self-Organizing Maps Coprocessors Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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