Title :
Best Linear Unbiased Estimators for Properties of Digitized Straight Lines
Author :
Dorst, Leo ; Smeulders, Arnold W M
Author_Institution :
Department of Applied Physics, Delft University of Technology, 2628 CJ Delft, The Netherlands.
fDate :
3/1/1986 12:00:00 AM
Abstract :
This paper considers the problem of measuring properties of digitized straight lines from the viewpoint of measurement methodology. The measurement and estimation process is described in detail, revealing the importance of a step called ``characterization´´ which was not recognized explicitly before. Using this new concept, BLUE (Best Linear Unbiased) estimators are found. These are calculated for various properties of digitized straight lines, and are briefly compared to previous work.
Keywords :
Biomedical informatics; Character recognition; Length measurement; Linearity; Low earth orbit satellites; Pathology; Performance evaluation; Physics; Quantization; BLUE estimators; chain-code string; digitization error; digitized straight lines; length measurement; measurement accuracy; quantization;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1986.4767781
