Download Image Processing and Mathematical Morphology: Fundamentals by Frank Y. Shih PDF

By Frank Y. Shih

In the advance of electronic multimedia, the significance and effect of snapshot processing and mathematical morphology are good documented in components starting from computerized imaginative and prescient detection and inspection to item attractiveness, picture research and development reputation. these operating in those ever-evolving fields require a superior seize of uncomplicated basics, thought, and similar applications—and few books gives you the original instruments for studying contained during this text.

Image Processing and Mathematical Morphology: basics and Applications is a finished, wide-ranging evaluate of morphological mechanisms and strategies and their relation to photo processing. greater than purely an educational on important technical details, the booklet locations this information right into a theoretical framework. This is helping readers learn key ideas and architectures after which use the author’s novel principles on implementation of complicated algorithms to formulate a pragmatic and targeted plan to improve and foster their very own rules. The book:

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* offers the historical past and state of the art concepts with regards to photograph morphological processing, with a number of useful examples

* supplies readers a transparent educational on complicated expertise and different instruments that depend on their instinct for a transparent figuring out of the subject

* contains an up-to-date bibliography and necessary graphs and illustrations

* Examines numerous new algorithms in nice element in order that readers can adapt them to derive their very own answer approaches

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This worthy reference is helping readers check and simplify difficulties and their crucial requisites and complexities, giving all of them the mandatory information and technique to grasp present theoretical advancements and functions, in addition to create new ones.

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Extra info for Image Processing and Mathematical Morphology: Fundamentals and Applications

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S. Ledley, D. K. Pollock, and A. , Durank, OK, pp. 275–326, 1968. , “A novel adaptive morphological approach for degraded character image segmentation,” Pattern Recognition, vol. 38, no. 11, pp. 1961–1975, Nov. 2005. Oliveira, M. A. and Leite, N. , “A multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint images,” Pattern Recognition, vol. 41, no. 1, pp. 367–377, Jan. 2008. Preston, K. , “Machine techniques for automatic identification of binucleate lymphocyte,” Proc.

The opposite sequence, closing, will fill in holes and concavities smaller than the probe. It tends to eliminate small holes and remove inward bumps. Such filters can be used to suppress spatial features or discriminate against objects based on their size distribution. As an example, if a disk-shaped structuring element of diameter h is used, the opening of an image is equivalent to a low-pass filter. The opening residue is a high-pass filter. When an image is opened with two elements of non-equal diameters, the difference between the openings is a band-pass filter.

D. , “Morphology-based multifractal estimation for texture segmentation,” IEEE Trans. Image Processing, vol. 15, no. 3, pp. 614–623, Mar. 2006. ) Dougherty, E. R. and R. A. Lotufo, Hands-on Morphological Image Processing, Bellingham, WA: SPIE Press, 2003. , Morphological Image Operators, Boston: Academic Press, 1994. Heijmans, H. and J. , Mathematical Morphology and its Applications to Image and Signal Processing, Boston: Kluwer Academic, 1998. Jonker, P. , Morphological Image Processing: Architecture and VLSI Design, Springer, the Netherlands, 1992.

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