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Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
Á¤ÁöÀå¸éÀÇ ¿¬¼Ó ÇÁ·¹ÀÓ ¿µ»ó °£ Åë°è¿¡ ±â¹ÝÇÑ ¿µ»óºÐÇÒ |
¿µ¹®Á¦¸ñ(English Title) |
Image Segmentation based on Statistics of Sequential Frame Imagery of a Static Scene |
ÀúÀÚ(Author) |
¼¼ö¿µ
°íÀÎö
Su Young Seo
In Chul Ko
|
¿ø¹®¼ö·Ïó(Citation) |
VOL 18 NO. 03 PP. 0073 ~ 0083 (2010. 08) |
Çѱ۳»¿ë (Korean Abstract) |
º» ¿¬±¸´Â Á¤ÁöÀå¸éÀÇ ¿¬¼Ó¿µ»ó°£ °¢ Çȼ¿À§Ä¡¿¡¼ ÀϾ´Â Åë°èÀû Ư¼ºÀ» È°¿ëÇÏ¿© ¿µ»óÀ» ºÐÇÒÇÏ´Â ±â¹ýÀ» Á¦¾ÈÇÑ´Ù. °ø°£Á¤º¸ÀÇ È¹µæ°ú ºÐ¼®¿¡¼ µðÁöÅÐ ¿µ»ó ó¸® ±â¹ýÀÇ È°¿ëÀº ¾ÆÁÖ Áß¿äÇÑ Àǹ̸¦ °¡Áø´Ù. ƯÈ÷ µðÁöÅÐ ¿µ»óÀÇ ¿µ¿ª ±¸ºÐÀ» À§ÇØ ´Ù¾çÇÑ ¿µ»ó ºÐÇÒ(image segmentation) ±â¹ýµéÀÌ È°¿ëµÇ°í ÀÖ´Ù. º» ¿¬±¸¿¡¼´Â ¼±Çà ¿¬±¸ÇÑ ¿¬¼ÓÇÁ·¹ÀÓ ¿µ»óÀÇ ºÐ±¤ÇÐÀû Ư¼º ºÐ¼®ÀÇ °á°ú¸¦ ¹ÙÅÁÀ¸·Î ¿¬¼Ó ÇÁ·¹ÀÓ °£ Randomness¸¦ È°¿ëÇÑ À̹ÌÁö ºÐÇÒ ¹æ¹ýÀ» Á¦¾ÈÇÏ¿´´Ù. ¿ì¼± ¿¬¼Ó ÇÁ·¹ÀÓ °£ °¢ ȼҿ¡ Åë°èÇÐÀûÀÎ ºÐ¼® ¹æ¹ýÀ» Àû¿ëÇÏ¿© °¢ ȼÒÀÇ Æò±Õ°ú Ç¥ÁØÆíÂ÷ °ªÀ» ±¸ÇÏ°í, À̸¦ ÅëÇÏ¿© ´ë»ó ¿µ»ó¿¡¼ °¡Àå ½Å·ÚÇÒ ¸¸ÇÑ È¼ÒµéÀ» ã¾Æ ¾¾¾Ñ Á¡(seed point)À» °áÁ¤ÇÏ¿´´Ù. ±×¸®°í ÀÌ ¾¾¾Ñ Á¡µéÀ» ½ÃÀÛÀ¸·Î ÀÌ¿ô È¼Ò °£ T-test¸¦ ½Ç½ÃÇÏ¿´À¸¸ç, À̸¦ ±â¹ÝÀ¸·Î ¿µ¿ª ¼ºÀå(region growing)ÀÇ °³³äÀ» Àû¿ëÇÏ¿© ¿µ»óÀ» ºÐÇÒ ÇÒ ¼ö ÀÖ´Â ±â¹ýÀ» ¿¬±¸ÇÏ¿´´Ù. Á¦¾È¹æ½ÄÀÇ ¼º´ÉÀ» °ËÁõÇϱâ À§ÇÏ¿© ½ÇÇèÀ» ÅëÇÏ¿© ±âÁ¸ÀÇ ¹æ½Ä°ú ºñ±³ºÐ¼®À» ¼öÇàÇÏ¿´´Ù. ÀÌ·¯ÇÑ ½ÇÇèÀÇ °á°ú ¿µ»óºÐÇÒ¿¡¼ ¿µ»óÀÇ ´ÜÀÏ ÇÁ·¹ÀÓÀ» È°¿ëÇÑ °Íº¸´Ù ¿¬¼Ó ÇÁ·¹ÀÓÀ» È°¿ëÇÑ °æ¿ì°¡ À¯¸®ÇÔÀ» È®ÀÎ ÇÒ ¼ö ÀÖ¾ú´Ù. |
¿µ¹®³»¿ë (English Abstract) |
This study presents a method to segment an image, employing the statistics observed at each pixel location across sequential frame images. In the acquisition and analysis of spatial information, utilization of digital im age processing technique has very im portant implications. Various image segmentation techniques have been presented to distinguish the area of digital im ages. In this study, based on the analysis of the spectroscopic characteristics of sequential frame im ages that had been previously researched, an image segmentation method was proposed by using the randomness occurring among a sequence of frame images for a same scene. First of all, we computed the mean and standard deviation values at each pixel and found reliable pixels to determine seed points using their standard deviation value. For segmenting an image into individual regions, we conducted region growing based on a T-test between reference and candidate sample sets. A comparative analysis was conducted to assure the performance of the proposed method with reference to a previous method. From a set of experimental results, it is confirmed that the proposed method using a sequence of frame images segments a scene better than a method using a single frame image. |
Å°¿öµå(Keyword) |
¿µ»óó¸®
¿µ»óºÐÇÒ
¿µ¿ª¼ºÀå
Åë°è
¿¬¼Ó ÇÁ·¹ÀÓ
T-test
Sequential image
Image segmentation
Region growing
Statistics
Sequential
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