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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document : 3 / 3

ÇѱÛÁ¦¸ñ(Korean Title) ±¤Àý´Ü¹ýÀ» ÀÌ¿ëÇÑ ¹°Ã¼ Å©±â ÃøÁ¤ ½Ã½ºÅÛ
¿µ¹®Á¦¸ñ(English Title) Object Width Measurement System Using Light Sectioning Method
ÀúÀÚ(Author) À̺´ÁÖ   °­Çö¼ö   Byeong-Ju Lee   Hyun-Soo   Kang  
¿ø¹®¼ö·Ïó(Citation) VOL 18 NO. 03 PP. 0697 ~ 0705 (2014. 03)
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(Korean Abstract)
º» ³í¹®¿¡¼­´Â ºñÀü±â¹Ý ¹°Ã¼ÀÇ Æø ÃøÁ¤°ú ±× ÀÀ¿ëÀ» À§ÇØ ±¤Àý´Ü¹ýÀ» ÀÌ¿ëÇÑ ÃøÁ¤¹æ¹ý¿¡ ´ëÇØ Á¦¾ÈÇÑ´Ù. ÃøÁ¤ ´ë»óÀº Æ®·¹µåÀ̸ç ÀÚµ¿Â÷ ŸÀ̾îÀÇ °¡Àå ¹Ù±ùÂÊ ¸éÀ» ÀǹÌÇÑ´Ù. Àüü ½Ã½ºÅÛÀº µÎ °³ÀÇ °úÁ¤À¸·Î ±¸¼ºµÇ´Âµ¥ ±³Á¤°úÁ¤°ú °ËÃâ°úÁ¤À¸·Î ±¸¼ºµÈ´Ù. ±³Á¤°úÁ¤¿¡¼­´Â Ä«¸Þ¶ó Æò¸é°ú ·¹ÀÌÀú Æò¸é°£ÀÇ º¯È¯ °ü°è¸¦ ±Ô¸íÇÏ°í ¿Ö°î ÆĶó¹ÌÅ͸¦ ÃßÃâÇÑ´Ù. À̶§ Á¤±³ÇÏ°Ô Á¦ÀÛµÈ Å×½ºÆ®ÆÐÅÏÀÎ Áö±×°¡ ÇÊ¿äÇÏ´Ù. °ËÃâ°úÁ¤¿¡¼­´Â ·¹ÀÌÀú°¡ ºñÃß´Â ¿µ¿ªÀ» ÃßÃâÇϱâ À§ÇØ ¹è°æ¿µ¿ªÀÇ È­¼Ò ºÐÆ÷¿¡ µû¶ó ÀûÀÀ½Ä ÀÓ°è¹æ¹ýÀ» Àû¿ëÇÑ´Ù. ´ÙÀ½À¸·Î °ËÃâµÈ ¿µ¿ª¿¡ ¼¼¼±È­ ¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ¿© Æ®·¹µåÀÇ ¼ñ´õ¿Í ³¡À» °ËÃâÇÑ´Ù. ÃÖÁ¾ÀûÀ¸·Î ¼ñ´õ¿Í Àüü ÆøÀº È£¸ð±×·¡ÇÇ¿Í ¿Ö°î°è¼ö¸¦ ÀÌ¿ëÇÏ¿© ÆøÀ» °è»êÇÑ´Ù.
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(English Abstract)
This paper presents a vision based object width measurement method and its application where the light sectioning method is employed. The target object for measurement is a tread, which is the most outside component of an automobile tire. The entire system applying the measurement method consists of two processes, i.e. a calibration process and a detection process. The calibration process is to identify the relationships between a camera plane and a laser plane, and to estimate a camera lens distortion parameters. As the process requires a test pattern, namely a jig, which is elaborately manufactured. In the detection process, first of all, the region that a laser light illuminates is extracted by applying an adaptive thresholding technique where the distribution of the pixel brightness is considered to decide the optimal threshold. Then, a thinning algorithm is applied to the region so that the ends and the shoulders of a tread are detected. Finally, the tread width and the shoulder width are computed using the homography and the distortion coefficients obtained by the calibration process.
Å°¿öµå(Keyword) È£¸ð±×·¡ÇÇ   ±¤Àý´Ü¹ý   Æ®·¹µå   ±³Á¤   °ËÃâ   Homography   Light Sectioning Method   Tread   Calibration   Detection  
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