Abstract
Today, the use of computer-assisted methods for the analysis and evaluation of microscopic images is inevitable. The initial task of image processing is to enhance the quality of digital images for further analysis. This optimisation comprises the use of greyscale, contrast, shading correction, specific filtering methods (e.g. sharpness, high pass, low pass, etc.), as well as arithmetic operations (e.g. addition, multiplication, logic operation). This chapter also reviews methods that are used to quantitatively determine specific image information, such as relative composition, particle size, interparticle distance, intensity profile, etc. Special image analysis procedures for the determination of periodicities in micrographs (such as the orientations of structural details, long periods, domain thicknesses, etc.) involve the use of Fourier analysis. The chapter also describes the application of stereoscopic imaging to show the topography of the sample surface, e.g. in scanning electron microscopy or optical microscopy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Castleman KR (1996) Digital image processing. Prentice-Hall, Upper Saddle River, NJ
Sawyer LC, Grubb DT (1996) Polymer microscopy, 2nd edn. Chapman and Hall, London
Kirkland EJ (1998) Advanced computing in electron microscopy. Springer, New York
Pitas I (2000) Digital image processing algorithms and applications. Wiley, New York
Rourdeyhimi B (2000) Imaging and image analysis applications for plastics. William Andrew, Norwich, UK
Zhang XF (2001) Progress in transmission electron microscopy 1. Springer, Berlin
Russ JC (2002) The image processing handbook. CRC Press, Boca Raton, FL
Yamanaka CR, Zhigang RL, Li L, Khigang RL (2003) Industrial application of electron microscopy. Marcel Dekker, New York
Jahne B, Jahne J (2004) Practical handbook on image processing for scientific and technical applications. CRC Press, Boca Raton, FL
Jähne B (2005) Digital image processing: Concepts, algorithms, and scientific application. Springer, Berlin
Umbaugh SE (2005) Computer imaging: Digital image analysis and processing. Taylor & Francis, Boca Raton, FL
Hader DP (2001) Image analysis. CRC Press, Boca Raton, FL
De Graef M (2003) Introduction to conventional transmission electron microscopy. Cambridge University Press, Cambridge
Graham D, Barrett AN (1997) Knowledge-based image processing systems. Springer, Berlin
Wojnar L, Wojnar W (1999) Image analysis: Applications in materials engineering. CRC Press, Boca Raton, FL
Michler GH, Naumann I, Baltá Calleja FJ, Ania F (1997) Acta Polym 48:36
Russ JC, Dehoff RT (2000) Practical stereology. Kluwer Academic/Plenum, New York
Staniforth M, Goldstein J, Newbury DE, Lyman CE, Echlin P, Lifshin E, Sawyer LC Michael JR, Joy DC (2002) Scanning electron microscopy and X-ray microanalysis. Kluwer Academic/Plenum, New York
Frank J (1992) Electron tomography: Three-dimensional imaging with the transmission electron microscope. Springer, New York
Yaroslavsky L (2003) Digital holography and digital image processing: Principles, methods, algorithms. Kluwer Academic, Boston, MA
Schoenmakers RHM, Perquin RA, Fliervoet TF, Voorhout W, Schirmacher H (2005) Microsc Anal 96:13
Fliervoet T (2005) Imag Microsc 2:45
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
(2008). Image Processing and Image Analysis. In: Electron Microscopy of Polymers. Springer Laboratory. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36352-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-36352-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36350-7
Online ISBN: 978-3-540-36352-1
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)