New algorithms for contour-based processing and interpretation of images
The paper reports development of a simple and reliable multi-comer detection technique that combines local computational schemes and an inexpensive model-based matching approach. The input data are digital contour images extracted from camera-captured scenes by using any edge detector. Although most...
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| Format: | Research Report |
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2008
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| Online Access: | http://hdl.handle.net/10356/2298 |
| _version_ | 1811695340609339392 |
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| author | Andrej Sluzek |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Andrej Sluzek |
| author_sort | Andrej Sluzek |
| collection | NTU |
| description | The paper reports development of a simple and reliable multi-comer detection technique that combines local computational schemes and an inexpensive model-based matching approach. The input data are digital contour images extracted from camera-captured scenes by using any edge detector. Although most of the results have been obtained by using the software implementation, the algorithmes structure has been optimised for hardware implementation. A preliminary hardware design has been proposed, and some of the modules have been already implemented in FPGA. Eventually, it should be possible to detect on-line all multi-comers (and to determine their geometry) within images incoming at standard (e.g. TV) rates. The algorithm has been developed within a joint research project of Robotics Research Centre (NTU) and British Gas Asia Pacific on development of an autonomous underwater vehicle for specialised applications. |
| first_indexed | 2024-10-01T07:21:55Z |
| format | Research Report |
| id | ntu-10356/2298 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T07:21:55Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/22982020-05-28T07:40:06Z New algorithms for contour-based processing and interpretation of images Andrej Sluzek School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence The paper reports development of a simple and reliable multi-comer detection technique that combines local computational schemes and an inexpensive model-based matching approach. The input data are digital contour images extracted from camera-captured scenes by using any edge detector. Although most of the results have been obtained by using the software implementation, the algorithmes structure has been optimised for hardware implementation. A preliminary hardware design has been proposed, and some of the modules have been already implemented in FPGA. Eventually, it should be possible to detect on-line all multi-comers (and to determine their geometry) within images incoming at standard (e.g. TV) rates. The algorithm has been developed within a joint research project of Robotics Research Centre (NTU) and British Gas Asia Pacific on development of an autonomous underwater vehicle for specialised applications. 2008-09-17T08:04:46Z 2008-09-17T08:04:46Z 2003 2003 Research Report http://hdl.handle.net/10356/2298 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Andrej Sluzek New algorithms for contour-based processing and interpretation of images |
| title | New algorithms for contour-based processing and interpretation of images |
| title_full | New algorithms for contour-based processing and interpretation of images |
| title_fullStr | New algorithms for contour-based processing and interpretation of images |
| title_full_unstemmed | New algorithms for contour-based processing and interpretation of images |
| title_short | New algorithms for contour-based processing and interpretation of images |
| title_sort | new algorithms for contour based processing and interpretation of images |
| topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | http://hdl.handle.net/10356/2298 |
| work_keys_str_mv | AT andrejsluzek newalgorithmsforcontourbasedprocessingandinterpretationofimages |