PARAMETER SELECTION AND COARSE LOCALIZATION OF REGIONS OF INTEREST FOR MSER|PROCESSING

摘要

An attribute is computed based on pixel intensities in an image of real world, and used to identify at least one input for processing the image to identify at least a first maximally stable extremal region (MSER). The at least one input is one of (A) a parameter used in MSER processing or (B) a portion of the image to be subject to MSER processing. The attribute may be a variance of pixel intensities, or computed from a histogram of pixel intensities. The attribute may be used with a look-up table, to identify parameter(s) used in MSER processing. The attribute may be a stroke width of a second MSER of a subsampled version of the image. The attribute may be used in checking whether a portion of the image satisfies a predetermined test, and if so including the portion in a region subject to MSER processing.