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Prediction of Edge Displacement due to Image Contrast
Author(s) -
Seo Suyoung
Publication year - 2017
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12189
Subject(s) - enhanced data rates for gsm evolution , intersection (aeronautics) , brightness , pixel , displacement (psychology) , contrast (vision) , kriging , gaussian , artificial intelligence , mathematics , measure (data warehouse) , computer vision , computer science , optics , physics , statistics , geography , psychology , cartography , quantum mechanics , psychotherapist , database
This study proposes a method to predict the amount of edge displacement ( ED ) caused by brightness difference in imaging. ED is a measure of the deviation of imaged edges from their true edge locations in the real world. A set of target sheets were designed to obtain reference lines and collect edge profiles for a given image contrast. A total of 330 target‐sheet images of varying contrast and camera‐to‐object distances were used, with their ED s estimated using a Gaussian function. The ED s and pixel values of dark and light areas either side of an edge were then used as observations to predict ED s at a regular grid of pixel values using kriging, which is shown to be an effective method to fit the ED observations to a surface with high prediction accuracy. In addition, simulations indicate the need to correct ED s for accurate space intersection.