A Precise and Novel Filter for Edge Detection of Gravity Anomalies (Case Study: Qom Salt Dome)

Edge detection is an image processing method for finding the boundaries of anomalies. Local phase filters are been widely used to detect the edges of the anomalies. There are various filters that are employed to attain edge detection, for example, Analytic signal, tilt angle, directional tilt angle and hyperbolic tilt angle. The tilt angle is a widely used edge detection filter. We make some improvement to tilt angle filter, so that it can process the gravity data. We describe a new filter based on the first order directional hyperbolic tilt angle. Directional hyperbolic tilt angle is used for edge detection of the gravity anomalies by a calculation program based on a MATLAB. This filter is applied to synthetic data with and without random noises. Finally, the validity of the filter is tested on a real case from the Iran.