Paper
28 July 1981 Simulation Of Edge Location Error
Steven C. Gustafson, Philip C. Handorf
Author Affiliations +
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
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven C. Gustafson and Philip C. Handorf "Simulation Of Edge Location Error", Proc. SPIE 0275, Semiconductor Microlithography VI, (28 July 1981); https://doi.org/10.1117/12.931882
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KEYWORDS
Monte Carlo methods

Error analysis

Statistical analysis

Image processing

Edge detection

Electrons

Image acquisition

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