Filtering of Fluid in Motion Images Using Optimal Mesh Smoothing
نویسندگان
چکیده
Due to the significant amount of noise in Sea Surface Temperature (SST) images that originate from different atmospheric sources and the sensor itself, current detection methods detect false fronts or neglect to detect fronts. Various methods have been used to filter the SST images including low-pass filter [1], contextual filter [2], adaptive filtering [3] and others [4]. The present paper introduces the optimal meshed smoothing approach [5] for SST images and validates the efficiency of the method on synthetic images of fluid in motion.
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تاریخ انتشار 2010