Extraction of auroral oval boundaries from UVI images: A new FLICM clustering-based method and its evaluation 

Based on the fuzzy local information c-means (FLICM) clustering algorithm, a new method is developed for extracting the equatorward and poleward boundaries of the auroral oval from images acquired by theUltraviolet Imager (UVI) aboard the POLAR satellite. First, the method iteratively segments the UVI image withthe FLICM clustering algorithm, according to an integrity criterion for the segmented auroral oval. Then, possiblegaps in the extracted auroral oval are filled, based on prior knowledge of its shape. To evaluate the method objectively, the extracted boundaries are compared with the precipitating electron boundaries determined from DMSPsatellite precipitation particle data. The evaluation results demonstrate that the proposed method generates moreaccurate auroral boundaries than traditional methods.