Implementation of harris corner detector on fpga
Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its performance with noisy images exceeds many other methods, in terms of accuracy and stability. Various methods are used to compare images and detect moving objects such as block matching but these meth...
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my-utm-ep.816042019-09-10T01:49:52Z Implementation of harris corner detector on fpga 2016 Al-Shatari, Mohammed Omar Awadh TK Electrical engineering. Electronics Nuclear engineering Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its performance with noisy images exceeds many other methods, in terms of accuracy and stability. Various methods are used to compare images and detect moving objects such as block matching but these methods are slow and have less accuracy. Moreover, the implementation of HCD has been proven to be computationally intensive, therefore, real-time streaming is difficult to achieve with sequential software implementation. This report presents the hardware implementation of HCD using Field-Programmable Gate Array (FPGA). The targeted board for the design is DE2-115 FPGA development board with an Altera Cyclone IV device. The architecture was tested using a SystemVerilog test-bench, enveloped by a MATLAB test-bench. The accuracy of the results obtained was tested visually and compared with the results of the same algorithm implemented in MATLAB. A maximum operational frequency of 170 MHz was achieved. The system uses 40% of the board’s logic elements. Resource utilization and timing performance are considerably balanced compared to recent works. 2016 Thesis http://eprints.utm.my/id/eprint/81604/ http://eprints.utm.my/id/eprint/81604/1/MohammedOmarAwadhMFKE2016.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:120479 masters Universiti Teknologi Malaysia Electrical Engineering |
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Universiti Teknologi Malaysia |
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UTM Institutional Repository |
| language |
English |
| topic |
TK Electrical engineering Electronics Nuclear engineering |
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TK Electrical engineering Electronics Nuclear engineering Al-Shatari, Mohammed Omar Awadh Implementation of harris corner detector on fpga |
| description |
Harris Corner Detector (HCD) algorithm is widely used in many applications of image processing. Its performance with noisy images exceeds many other methods, in terms of accuracy and stability. Various methods are used to compare images and detect moving objects such as block matching but these methods are slow and have less accuracy. Moreover, the implementation of HCD has been proven to be computationally intensive, therefore, real-time streaming is difficult to achieve with sequential software implementation. This report presents the hardware implementation of HCD using Field-Programmable Gate Array (FPGA). The targeted board for the design is DE2-115 FPGA development board with an Altera Cyclone IV device. The architecture was tested using a SystemVerilog test-bench, enveloped by a MATLAB test-bench. The accuracy of the results obtained was tested visually and compared with the results of the same algorithm implemented in MATLAB. A maximum operational frequency of 170 MHz was achieved. The system uses 40% of the board’s logic elements. Resource utilization and timing performance are considerably balanced compared to recent works. |
| format |
Thesis |
| qualification_level |
Master's degree |
| author |
Al-Shatari, Mohammed Omar Awadh |
| author_facet |
Al-Shatari, Mohammed Omar Awadh |
| author_sort |
Al-Shatari, Mohammed Omar Awadh |
| title |
Implementation of harris corner detector on fpga |
| title_short |
Implementation of harris corner detector on fpga |
| title_full |
Implementation of harris corner detector on fpga |
| title_fullStr |
Implementation of harris corner detector on fpga |
| title_full_unstemmed |
Implementation of harris corner detector on fpga |
| title_sort |
implementation of harris corner detector on fpga |
| granting_institution |
Universiti Teknologi Malaysia |
| granting_department |
Electrical Engineering |
| publishDate |
2016 |
| url |
http://eprints.utm.my/id/eprint/81604/1/MohammedOmarAwadhMFKE2016.pdf |
| _version_ |
1747818369084555264 |