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Çѱ¹µµ·ÎÇÐȸ / v.3, no.4, 2001³â, pp.137-146
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( Characteristics of Asphalt Pavement Images and Enhanced Algorithm for Noise Reduction ) |
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| Pavement distresses are one of the most important data for pavement management systems. Inspection machines and its related programs have been used for operating tools in PMS developed in advanced countries. In Korea imported machines and programs for the length price ale utilized to get information of pavement condition from the field This study is launched for developing the program which can detect cracks on asphalt pavement due to many drawbacks in current PMS operation such as improper maintenance work and long resting period when it was broken. The focus of this study is to define principles to analyze pavement surface with digital image processing techniques, to test property of pavement images and to suggest an algorithm that reduces noises at test. To test images, the camera attached on the Automatic Road Analyser(ARAN) was used. Through the FFT images, histogram and statistical values of pavement images, it was found that the images had many noises with high-frequency components against general images, and it was difficult to subdivide pavement images into background or crack. Through several testing with various filters for noise reduction a 3X3 median filter was suggested to reduce noises effectively. |
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| ±Õ¿;Æ÷ÀåÀ¯Áö°ü¸®½Ã½ºÅÛ;À̹ÌÁö ÇÁ·Î¼¼½Ì;Áß°£°ª ÇÊÅÍ;crack;pavement management system;image processing;median filter; |
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Çѱ¹µµ·ÎÇÐȸ³í¹®Áý / v.3, no.4, 2001³â, pp.137-146
Çѱ¹µµ·ÎÇÐȸ
ISSN : 1738-7159
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200115637535747)
¾ð¾î : Çѱ¹¾î |
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| ³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø |
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