Abstract
The word morphology refers to a discipline in biology where the shapes and structures of animals and trees are discussed and analyzed. In this chapter, we concentrate on the mathematics of morphology and apply them to image processing, especially binary images. To be precise, morphology-based image processing can be considered as the bridge between the signal and pattern property of image. This can be considered as both preprocessing algorithm and feature-extraction algorithm. Morphology-based image processing is specially used for shape-based feature extraction like boundary, convex, skeleton, and regions from an image.
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Reference
Soille, P.: Morphological Image Analysis: Principles and Applications, 2nd edn. Springer, New York (1999)
Gonzales, R. C., Woods, R. E.: Digital Image Processing, 3rd edn. Prentice Hall, NJ, (2009)
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© 2015 Springer International Publishing Switzerland
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Das, A. (2015). Morphology-Based Image Processing. In: Guide to Signals and Patterns in Image Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-14172-5_7
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DOI: https://doi.org/10.1007/978-3-319-14172-5_7
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-14172-5
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