Abstract
In the previous chapter pixel operations were independent on the surrounding pixels. This principle has many useful applications, but it cannot be applied to investigate the relationship between neighboring pixels. For example, if a significant change in intensity value occurs this could indicate the boundary of an object and by finding the boundary pixels the object is located. In this (and the next) chapter a number of methods are presented where the neighboring pixels play a role when determining the output value of a pixel. One neighborhood operation for removing image noise is the median filter, which is discussed first. Hereafter the notion of correlation is introduced. Correlation is a general approach where a small part of the image is compared with a kernel. This is done for the entire image resulting in a number of important algorithms such as the mean filter, template matching, edge detection and image sharpening.
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Notes
- 1.
Readers unfamiliar with vectors and matrices are advised to consult Appendix B before reading this chapter.
- 2.
Note that this issue is common for all neighborhood processing methods.
- 3.
The reader is encouraged to play around with this equation in order to fully comprehend it.
- 4.
For binary images, template matching is normally performed using XOR.
- 5.
Image processing is a subset of signal processing.
- 6.
Connectivity among pixels is discussed in Chap. 7.
References
Barrow, H.G., Tenenbaum, J.M., Bolles, R.C., Wolf, H.C.: Parametric correspondence and chamfer matching: two new techniques for image matching. In: 5th International Joint Conference on Artificial Intelligence (1977)
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679–698 (1986)
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© 2012 Springer-Verlag London Limited
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Moeslund, T.B. (2012). Neighborhood Processing. In: Introduction to Video and Image Processing. Undergraduate Topics in Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-2503-7_5
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DOI: https://doi.org/10.1007/978-1-4471-2503-7_5
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