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ÇѱÛÁ¦¸ñ(Korean Title) |
ÀûÀÀÀû ´ÙÁß ½Ãµå ¿µ¿ª È®Àå¹ýÀ» ÀÌ¿ëÇÑ ±¸Á¶Àû ÆÐÅÏÀÇ º¸µµ ¿µ¿ª °ËÃâ |
¿µ¹®Á¦¸ñ(English Title) |
Detection of Pavement Region with Structural Patterns through Adaptive Multi-Seed Region Growing |
ÀúÀÚ(Author) |
¿ø¼±Èñ
ÁÖ¼ºÀÏ
³ªÇö¼÷
ÃÖÇüÀÏ
SunHee Weon
SungIl Joo
HyeonSuk Na
HyungIl Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 19-B NO. 04 PP. 0209 ~ 0220 (2012. 08) |
Çѱ۳»¿ë (Korean Abstract) |
º» ³í¹®¿¡¼´Â º¸ÇàÀÚ¿¡ ÀåÂøµÈ Ä«¸Þ¶ó·ÎºÎÅÍ ÀÔ·ÂµÈ ÀÚ¿¬¿µ»ó¿¡¼ÀÇ ±¸Á¶Àû ÆÐÅÏ º¯È¿¡ °ÀÎÇÑ ÀûÀÀÀûÀÎ º¸µµ ¿µ¿ª °ËÃâ ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÏ´Â ¹æ¹ý¿¡¼´Â ´Ù¾çÇÑ ÆÐÅÏÀ» °¡Áö´Â º¸µµ ȯ°æ¿¡¼ ¾ÈÁ¤ÀûÀ¸·Î º¸µµ ¿µ¿ªÀ» ºÐÇÒÇϱâ À§ÇØ Ã¹ ¹ø° ´Ü°è¿¡¼´Â ¼Ò½ÇÁ¡¿¡ ±â¹ÝÇÏ´Â VRay¸¦ ÀÌ¿ëÇÑ ¹æ»çÇü ¿µ¿ª ºÐÇÒ¹ýÀ» ÅëÇØ º¸µµÀÇ °æ°è¼±À» °ËÃâÇÏ¿© º¸µµÀÇ Èĺ¸¿µ¿ªÀ» ºÐ¸®Çϸç, µÎ ¹ø° ´Ü°è¿¡¼´Â ºÐ¸®µÈ Èĺ¸¿µ¿ª ³»¿¡¼ÀÇ ½Ãµå ¿µ¿ª È®Àå¹ý(SRG)À» °³¼±ÇÑ ÀûÀÀÀû ´ÙÁß ½Ãµå ¿µ¿ª È®Àå¹ý(A-MSRG)¸¦ ÅëÇØ ±¸Á¶Àû ÆÐÅÏÀÌ ¹Ýº¹µÇ´Â º¸µµ ¿µ¿ªÀ» ½Ç½Ã°£À¸·Î °ËÃâÇÏ´Â ¹æ¹ýÀ» ¼öÇàÇÑ´Ù. ¼º´ÉÆò°¡¸¦ À§ÇØ Á¦¾ÈµÈ ¹æ»çÇü ¿µ¿ª ºÐÇÒ¹ý°ú A-MSRG¿ÍÀÇ °áÇÕ¿¡ ÀÇÇÑ ¿µ¿ª °ËÃâ °á°úÀÇ È¿À²¼ºÀ» ÃøÁ¤ÇÑ´Ù. ±âÁ¸ÀÇ SRG, MSRG ¹æ¹ý°úÀÇ ºñ±³ ¼öÇàÀ» ÅëÇØ Á¦¾ÈµÈ ¹æ¹ýÀÇ Å¸´ç¼ºÀ» ÀÔÁõÇÏ¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In this paper, we propose an adaptive pavement region detection method that is robust to changes of structural patterns in a natural scene. In order to segment out a pavement reliably, we propose two step approaches. We first detect the borderline of a pavement and separate out the candidate region of a pavement using VRays. The VRays are straight lines starting from a vanishing point. They split out the candidate region that includes the pavement in a radial shape. Once the candidate region is found, we next employ the adaptive multi-seed region growing(A-MSRG) method within the candidate region. The A-MSRG method segments out the pavement region very accurately by growing seed regions. The number of seed regions are to be determined adaptively depending on the encountered situation. We prove the effectiveness of our approach by comparing its performance against the performances of seed region growing(SRG) approach and multi-seed region growing(MSRG) approach in terms of the false detection rate.
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Å°¿öµå(Keyword) |
¹æ»çÇü ¿µ¿ª ºÐÇÒ¹ý
ÀûÀÀÀû ´ÙÁß ½Ãµå ¿µ¿ª È®Àå¹ý
º¸µµ ¿µ¿ª °ËÃâ
½Ã°¢ Àå¾ÖÀÎ
Radial Region Split
Adaptive Multi-Seed Region Growing(A-MSRG)
Pavement Region Detection
Visually Impaired Person
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ÆÄÀÏ÷ºÎ |
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