Geometric correction of digital images using orthonormal decomposition
- 1 March 1988
- journal article
- research article
- Published by Wiley in Journal of Microscopy
- Vol. 149 (3) , 233-245
- https://doi.org/10.1111/j.1365-2818.1988.tb04581.x
Abstract
We have developed an algorithm which can be used to correct the geometric distortion of digitial images. The method uses and orthonormal decomposition and a tow-dimensional Horner''s scheme to construct and evaluate a polynomial equation of arbitary degree in tow independent variablesl. This numberical scheme for geometric correction combines several methods selected on the basis of their computation efficiency and numerical stability. The methods selected on the basis of theier computation efficiency and numerical stability. The differneces and advantages of this numerical scheme are compared with methods found in the image processing literature. The algorithm presented here has a reduced number of mathematical operations, is flexible and numerically stable. Based on the least-squares criteria, the algorithm provides corrected pixel positions with an accuracy equal to or better than the pixel size.This publication has 4 references indexed in Scilit:
- Fluorescence ratio imaging microscopy: temporal and spatial measurements of cytoplasmic pHThe Journal of cell biology, 1987
- Cellular and Subcellular Heterogeneity of [Ca 2+ ] i in Single Heart Cells Revealed by Fura-2Science, 1987
- Digital imaging fluorescence microscopy: spatial heterogeneity of photobleaching rate constants in individual cells.The Journal of cell biology, 1985
- Optical Sectioning Microscopy: Cellular Architecture in Three DimensionsAnnual Review of Biophysics and Bioengineering, 1984