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Statistical Filters
There are many other functions that may be used to mark steps and edges. For example, the statistical standard deviation or variance of the pixels in a small neighborhood rises abruptly at boundaries. For a color image, the range, or maximum vector difference between any pair of neighbor pixels, is often useful. This interactive tutorial illustrates the application of the statistical filters to delineate steps and edges in an image.
The tutorial initializes with a randomly selected specimen image appearing in the Specimen Image window. The Choose A Specimen pull-down menu provides a selection of specimen images, in addition to the initial randomly chosen one. The Statistical Filter buttons select which filter to apply to generate the Filtered Image shown on the right. For color images, the processing is applied only to the pixel brightness values.
Contributing Authors
John C. Russ - Materials Science and Engineering Dept., North Carolina State University, Raleigh, North Carolina, 27695.
Matthew Parry-Hill, and Michael W. Davidson - National High Magnetic Field Laboratory, 1800 East Paul Dirac Dr., The Florida State University, Tallahassee, Florida, 32310.
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