Title :
Quantization error in hexagonal sensory configurations
Author :
Kamgar-Parsi, B.
Author_Institution :
US Naval Res. Lab., Washington, DC
fDate :
6/1/1992 12:00:00 AM
Abstract :
The authors develop mathematical tools for estimating quantization error in hexagonal sensory configurations. These include analytic expressions for the average error and the error distribution of a function of an arbitrary number of independently quantized variables. These two quantities are essential for assessing the reliability of a given algorithm. They can also be used to compare the relative sensitivity of a particular algorithm to quantization error for hexagonal and other spatial samplings, e.g., square, and can have an impact on sensor design. Furthermore, it is shown that the ratio of hexagonal error to square error is bounded between 0.90 and 1.05
Keywords :
computer vision; error statistics; picture processing; algorithm reliability; average error; computer vision; error distribution; error statistics; hexagonal sensory configurations; picture processing; quantization error; spatial samplings; Algorithm design and analysis; Computer errors; Image sampling; Layout; Pixel; Quantization; Signal processing; Signal processing algorithms; Signal sampling; Spatial resolution;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
