Edge filter for road white-line detection using brightness gradient approximation by discrete values
We propose an edge filter for road white-line detection. Many methods for white-line detection have been proposed for standardized roads. These methods are composed of two stages of processing, i.e., edge detection on an image taken with a camera and then extraction of edge clusters of white-line co...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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The Japan Society of Mechanical Engineers
2017-06-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/11/2/11_2017jamdsm0029/_pdf/-char/en |
| _version_ | 1818107791279128576 |
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| author | Hiroyuki FURUSHOU Hiroshi MOURI |
| author_facet | Hiroyuki FURUSHOU Hiroshi MOURI |
| author_sort | Hiroyuki FURUSHOU |
| collection | DOAJ |
| description | We propose an edge filter for road white-line detection. Many methods for white-line detection have been proposed for standardized roads. These methods are composed of two stages of processing, i.e., edge detection on an image taken with a camera and then extraction of edge clusters of white-line contours by model fitting. It is difficult to apply these methods to non-standardized roads of for which modeling are difficult. To expand the scope of white-line detection to common roads in the future, it is necessary to achieve processing through clustering without models. However, while clustering can apply to diverse contour lines, there is concern about degrading noise reduction that has so far been done by model fitting. In this study, for the first-stage processing, we developed an edge filter that utilizes the characteristics of white-line contours and detects noise correctly. This filter uses brightness-gradient approximation by discrete values, for which we obtained an idea for a non-linear filter that approximates a low-pass filter plus differential calculus. By applying the method to the images taken by on-board camera, we demonstrate that white-line detection that can apply to diverse road environments but is hardly affected by noise can be realized through combination with model-less clustering. |
| first_indexed | 2024-12-11T02:05:04Z |
| format | Article |
| id | doaj.art-1a02ec039e114b4192f17f82cd112ff9 |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-12-11T02:05:04Z |
| publishDate | 2017-06-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-1a02ec039e114b4192f17f82cd112ff92022-12-22T01:24:24ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542017-06-01112JAMDSM0029JAMDSM002910.1299/jamdsm.2017jamdsm0029jamdsmEdge filter for road white-line detection using brightness gradient approximation by discrete valuesHiroyuki FURUSHOU0Hiroshi MOURI1ITS Research Division, Japan Automobile Research InstituteDepartment of Mechanical Systems Engineering, Tokyo University of Agriculture and TechnologyWe propose an edge filter for road white-line detection. Many methods for white-line detection have been proposed for standardized roads. These methods are composed of two stages of processing, i.e., edge detection on an image taken with a camera and then extraction of edge clusters of white-line contours by model fitting. It is difficult to apply these methods to non-standardized roads of for which modeling are difficult. To expand the scope of white-line detection to common roads in the future, it is necessary to achieve processing through clustering without models. However, while clustering can apply to diverse contour lines, there is concern about degrading noise reduction that has so far been done by model fitting. In this study, for the first-stage processing, we developed an edge filter that utilizes the characteristics of white-line contours and detects noise correctly. This filter uses brightness-gradient approximation by discrete values, for which we obtained an idea for a non-linear filter that approximates a low-pass filter plus differential calculus. By applying the method to the images taken by on-board camera, we demonstrate that white-line detection that can apply to diverse road environments but is hardly affected by noise can be realized through combination with model-less clustering.https://www.jstage.jst.go.jp/article/jamdsm/11/2/11_2017jamdsm0029/_pdf/-char/enedge filterwhite linedetectionmodel-lesscommon roadbrightness gradient |
| spellingShingle | Hiroyuki FURUSHOU Hiroshi MOURI Edge filter for road white-line detection using brightness gradient approximation by discrete values Journal of Advanced Mechanical Design, Systems, and Manufacturing edge filter white line detection model-less common road brightness gradient |
| title | Edge filter for road white-line detection using brightness gradient approximation by discrete values |
| title_full | Edge filter for road white-line detection using brightness gradient approximation by discrete values |
| title_fullStr | Edge filter for road white-line detection using brightness gradient approximation by discrete values |
| title_full_unstemmed | Edge filter for road white-line detection using brightness gradient approximation by discrete values |
| title_short | Edge filter for road white-line detection using brightness gradient approximation by discrete values |
| title_sort | edge filter for road white line detection using brightness gradient approximation by discrete values |
| topic | edge filter white line detection model-less common road brightness gradient |
| url | https://www.jstage.jst.go.jp/article/jamdsm/11/2/11_2017jamdsm0029/_pdf/-char/en |
| work_keys_str_mv | AT hiroyukifurushou edgefilterforroadwhitelinedetectionusingbrightnessgradientapproximationbydiscretevalues AT hiroshimouri edgefilterforroadwhitelinedetectionusingbrightnessgradientapproximationbydiscretevalues |