Adaptive thresholding in dynamic scene analysis for extraction of fine line
This paper presents an adaptive threshold method whereby a fine thin line of one-pixel width lines could be detected in a gray level images. The proposed method uses the percentage difference between the mean of the pixels within a window and the center pixel. The minimum threshold value however is...
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| Format: | Article |
| Language: | en |
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2000
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| Online Access: | http://eprints.utm.my/1983/1/SyedAbdulRahman2000_AdaptiveThresholdingInDynamicScene.pdf http://eprints.utm.my/1983/ |
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| _version_ | 1845470587659485184 |
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| author | Syed Abu Bakar, Syed Abdul Rahman Green, R. J. |
| author_facet | Syed Abu Bakar, Syed Abdul Rahman Green, R. J. |
| author_sort | Syed Abu Bakar, Syed Abdul Rahman |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents an adaptive threshold method whereby a fine thin line of one-pixel width lines could be detected in a gray level images. The proposed method uses the percentage difference between the mean of the pixels within a window and the center pixel. The minimum threshold value however is heuristically set to 32. If the percentage difference is greater than 40% then the threshold value will be set to the difference value. This method has been applied in detecting moving objects with fine lines and the results showed that the method was able to pickup straight thin edges that belong to the moving object |
| format | Article |
| id | my.utm.eprints-1983 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2000 |
| record_format | eprints |
| spelling | my.utm.eprints-19832012-05-24T01:45:27Z http://eprints.utm.my/1983/ Adaptive thresholding in dynamic scene analysis for extraction of fine line Syed Abu Bakar, Syed Abdul Rahman Green, R. J. TK Electrical engineering. Electronics Nuclear engineering This paper presents an adaptive threshold method whereby a fine thin line of one-pixel width lines could be detected in a gray level images. The proposed method uses the percentage difference between the mean of the pixels within a window and the center pixel. The minimum threshold value however is heuristically set to 32. If the percentage difference is greater than 40% then the threshold value will be set to the difference value. This method has been applied in detecting moving objects with fine lines and the results showed that the method was able to pickup straight thin edges that belong to the moving object 2000-09-24 Article PeerReviewed application/pdf en http://eprints.utm.my/1983/1/SyedAbdulRahman2000_AdaptiveThresholdingInDynamicScene.pdf Syed Abu Bakar, Syed Abdul Rahman and Green, R. J. (2000) Adaptive thresholding in dynamic scene analysis for extraction of fine line. TENCON 2000. Proceedings , 2 . pp. 141-143. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Syed Abu Bakar, Syed Abdul Rahman Green, R. J. Adaptive thresholding in dynamic scene analysis for extraction of fine line |
| title | Adaptive thresholding in dynamic scene analysis for extraction of fine line |
| title_full | Adaptive thresholding in dynamic scene analysis for extraction of fine line |
| title_fullStr | Adaptive thresholding in dynamic scene analysis for extraction of fine line |
| title_full_unstemmed | Adaptive thresholding in dynamic scene analysis for extraction of fine line |
| title_short | Adaptive thresholding in dynamic scene analysis for extraction of fine line |
| title_sort | adaptive thresholding in dynamic scene analysis for extraction of fine line |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/1983/1/SyedAbdulRahman2000_AdaptiveThresholdingInDynamicScene.pdf http://eprints.utm.my/1983/ |
| url_provider | http://eprints.utm.my/ |