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ÇѱÛÁ¦¸ñ(Korean Title) |
3Â÷¿ø Çü»ó º¹¿øÀ» À§ÇÑ ¼öÇÐÀû ¸ðÆú·ÎÁö ±â¹ÝÀÇ ÃÊÁ¡ Ãøµµ ±â¹ý |
¿µ¹®Á¦¸ñ(English Title) |
A New Focus Measure Method Based on Mathematical Morphology for 3D Shape Recovery |
ÀúÀÚ(Author) |
Muhammad Tariq Mahmood
ÃÖ¿µ±Ô
Muhammad Tariq Mahmood
Young Kyu Choi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 06 NO. 01 PP. 0023 ~ 0028 (2017. 01) |
Çѱ۳»¿ë (Korean Abstract) |
Shape from focus (SFF) ±â¹ýÀº Ä«¸Þ¶ó ·»Á ´Ù¾çÇÑ ÃÊÁ¡ °Å¸®·Î ³õ°í ÃÔ¿µÇÑ ¿µ»óÀ» ÀÌ¿ëÇØ ¹°Ã¼ÀÇ 3Â÷¿ø Á¤º¸¸¦ ÃßÃâÇÏ´Â ¹æ¹ýÀÌ´Ù. ÀÌ ³í¹®¿¡¼´Â ¹Ì¼Ò °´Ã¼ microscopic object)ÀÇ 3Â÷¿ø ±íÀÌ Á¤º¸¸¦ ÃßÃâÇϱâ À§ÇØ ¼öÇÐÀû ¸ðÆú·ÎÁöÀÇ ±â¿ï±â ¿¬»êÀÚ¸¦ ÀÌ¿ëÇÏ´Â »õ·Î¿î SFF ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ÀüÅëÀûÀ¸·Î SFF ±â¹ý¿¡¼´Â ÃÊÁ¡ÀÇ Ç°ÁúÀ» ÃøÁ¤Çϱâ À§ÇØ ÇϳªÀÇ ÃÊÁ¡ Ãøµµ focus measure)¸¦ »ç¿ëÇÑ´Ù. ±×·¯³ª ¹Ì¼Ò °´Ã¼ÀÇ º¹ÀâÇÑ ÇüÅÂ¿Í ÅؽºÃÄ Æ¯¼º¿¡ µû¶ó ÇϳªÀÇ ÃÊÁ¡ Ãøµµ¸¸À» »ç¿ëÇÏ´Â °ÍÀº ÃæºÐÇÏÁö°¡ ¾ÊÀºµ¥ º» ³í¹®¿¡¼´Â Çâ»óµÈ ÃÊÁ¡Ãøµµ¸¦ À§ÇØ ´Ù¼öÀÇ ÇüÅÂ¼Ò multi-structuring elements)¸¦ »ç¿ëÇÏ´Â ¸ðÆú·ÎÁö ¿¬»êÀÚ¸¦ »ç¿ëÇÏ´Â ¹æ¹ýÀ» Á¦¾ÈÇÑ´Ù. ÃÖÁ¾ÀûÀ¸·Î ¸ðµç ÃÊÁ¡ Ãøµµ °á°ú¸¦ ÅëÇÕÇÏ¿© ÃÖÀûÀÇ ±íÀÌ ¸ÊÀ» °è»êÇÏ°Ô µÈ´Ù. ½ÇÇèÀ» ÅëÇØ Á¦¾ÈµÈ ¾Ë°í¸®ÁòÀÌ ±âÁ¸ÀÇ ¹æ¹ýµé¿¡ ºñÇØ 3Â÷¿ø Çü»ó º¹¿ø Ãø¸é¿¡¼ ´õ Á¤¹ÐÇÑ ±íÀÌ ¸ÊÀ» Á¦°øÇÏ´Â °ÍÀ» ¾Ë ¼ö ÀÖ¾ú´Ù.
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¿µ¹®³»¿ë (English Abstract) |
Shape from focus (SFF) is a technique used to reconstruct 3D shape of objects from a sequence of images obtained at different focus settings of the lens. In this paper, a new shape from focus method for 3D reconstruction of microscopic objects is described, which is based on gradient operator in Mathematical Morphology. Conventionally, in SFF methods, a single focus measure is used for measuring the focus quality. Due to the complex shape and texture of microscopic objects, single measure based operators are not sufficient, so we propose morphological operators with multi-structuring elements for computing the focus values. Finally, an optimal focus measure is obtained by combining the response of all focus measures. The experimental results showed that the proposed algorithm has provided more accurate depth maps than the existing methods in terms of three-dimensional shape recovery.
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Å°¿öµå(Keyword) |
Shape from Focus
Mathematical Morphology
Focus Measure
Depth Map
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ÆÄÀÏ÷ºÎ |
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