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Identifying A Maximally Stable Extremal Region (MSER) In An Image By Skipping Comparison Of Pixels In The Region
Identifying A Maximally Stable Extremal Region (MSER) In An Image By Skipping Comparison Of Pixels In The Region
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机译:通过跳过区域中像素的比较来识别图像中的最大稳定末端区域(MSER)
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摘要
A difference in intensities of a pair of pixels in an image is repeatedly compared to a threshold, with the pair of pixels being separated by at least one pixel (“skipped pixel”). When the threshold is found to be exceeded, a selected position of a selected pixel in the pair, and at least one additional position adjacent to the selected position are added to a set of positions. The comparing and adding are performed multiple times to generate multiple such sets, each set identifying a region in the image, e.g. an MSER. Sets of positions, identifying regions whose attributes satisfy a test, are merged to obtain a merged set. Intensities of pixels identified in the merged set are used to generate binary values for the region, followed by classification of the region as text/non-text. Regions classified as text are supplied to an optical character recognition (OCR) system.
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