Use of the Two Dimensional Gabor Filter to Interpret Magnetic Data Over the Marmara Sea, Turkey
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ure and Applied Geophysics
Use of the Two Dimensional Gabor Filter to Interpret Magnetic Data Over the Marmara Sea, Turkey I. SERTCELIK,1 O. KAFADAR,2 and C. KURTULUS3 Abstract—Image processing techniques have been frequently used in processing of potential field data. The most important aim in processing potential field data is to figure out the edges of the geological bodies. The Gabor filter was used to determine the discontinuity boundaries of the source bodies causing the magnetic anomalies in this study. The synthetic total magnetic anomaly of three prism bodies with different depths and orientations was used to test the effect of the Gabor filter on the magnetic data. In addition, the Gabor filter was applied on the reduction to the pole aeromagnetic field data of the Marmara Sea and the results were compared with the fault distribution map of the area prepared by various authors. Key words: Magnetic data, image processing, edge detection, Gabor filter.
1. Introduction One of the most significant objectives of the potential field geophysicists is to determine the locations and boundaries of buried structures. For this purpose, many techniques based on derivatives of the potential field data have been developed such as the total horizontal derivative (CORDELL 1979), positive part of the first vertical derivative of the total horizontal derivative (ZHOU et al. 2006) and tilt angle (MILLER and SINGH 1994; VERDUZCO et al. 2004). The aim of derivative-based methods is to clarify the eligibility of the anomalies, while strengthening the high-frequency components in the anomalies. During this process, the noises in the anomaly will be also strengthening in
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Engineering Faculty, Department of Geophysical Engineering, Kocaeli University, Kocaeli, Turkey. 2 Department of Computer Programming, Kocaeli University, Kocaeli, Turkey. E-mail: [email protected] 3 Engineering Faculty, Department of Geophysical Engineering, Kocaeli University, Kocaeli, Turkey.
addition to high-frequency components. A low-pass filtering application is necessary to eliminate the noise before or after the derivation process. Lately, some image processing techniques have been widely used for edge detection from the potential field data. Most of the edge detection techniques are based on derivatives of the image such as ROBERTS (1965), SOBEL (1970, 1990) and PREWITT (1970). The 2D Gabor filter is a linear filter and provides advantages in interpreting highlighting anomalies in desired directions. The Gabor filter, which is one of the spectral techniques, has been widely used in many scientific areas based on image processing techniques such as texture recognition and classification (CLARK et al. 1987), fingerprint recognition (YANG et al. 2003), edge detection (MEHROTTA et al. 1992) and image compression (DAUGHMAN 1988). Although the Gabor filter is a band-pass filter, it has the characteristics of a low-pass filter, because it has a term containing the Gaussian function. Hence, the Gabor filter reduces the noises while emphasizing the bo
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