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- W2079328650 abstract "Edge location in very high-resolution images may be affected by the statistical distribution of discrete grains that collectively form the opaque regions. An ideal case is considered in which a one-dimensional edge, represented by a step probability density function, is characterized by the location and contrast (magnitude relative to a background level) of the step discontinuity. This function is randomly sampled at a number of points, and a maximum likelihood criterion and a Monte Carlo technique are used to estimate the edge location from the samples. The root mean square deviation of this estimate from the actual edge location is obtained as a function of the edge contrast, the actual edge location, and the number of samples. This simulation is applicable to a class of single straight-edge images for which the number of samples is interpreted as the number of grains in the image and for which the edge orientation is known. 4-reNAyin -inn" @default.
- W2079328650 created "2016-06-24" @default.
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- W2079328650 date "1981-07-28" @default.
- W2079328650 modified "2023-09-23" @default.
- W2079328650 title "<title>Simulation Of Edge Location Error</title>" @default.
- W2079328650 doi "https://doi.org/10.1117/12.931882" @default.
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