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This Concept Map, created with IHMC CmapTools, has information related to: Literature-survey, Diurnal auroral occurence statistics obtained via machine vision Problems with Omega bands, Kauristie A search engine for auroral forms, Automatic classification is very difficult (12%) ? Since Uncertain to experts, Minimum spanning tree SOM Like in Determining the skeletons of the auroras, Content-Based retrieval of Auroral Images -- Thousands of irregular shapes Concerns Salient aurora, Segment with multilevel thresholding + Canny, (1) brightness (2) north-south brightness distribution (3) east-west brightness distribution (4) Multi-scale texture measure Incl. Multiresolution gabor, Content-Based retrieval of Auroral Images -- Thousands of irregular shapes Concerns Difficulty of characterising forms of, Metadata Such as Date, OBSERVATIONS OF SUBSTORM ELECTRODYNAMICS USING THE MIRACLE NETWORK Isn't Machine Vision, Automatic classification is very difficult (12%) ? Since auroral forms have large variation, A search engine for auroral forms Locates Arcs, Y.-H. Yang Automatic classification of auroral images in substorm studies, Rong Fu Patchy Aurora Image Segmentation Based on ALBP and Block Threshold, CBIR Using Fourier descriptors, Minimum spanning tree SOM Estimating Principal Curves, Detection via Mean/max brightness, Searching for aurora Detection by Template matching, Pulkkinen OBSERVATIONS OF SUBSTORM ELECTRODYNAMICS USING THE MIRACLE NETWORK, Automatic classification of auroral images in substorm studies Techniques Fourier descriptors