Proceedings ArticleDOI
Some Simple Generalizations Of Morphological Filters
Stephen Herman
- Vol. 1092, pp 398-405
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TLDR
In this paper, a 3 by 3 pixel operator is introduced to perform repeated erosion and dilation like operations that are functions of not only size and polarity, but also local derivatives or ratios of adjacent pixel values.Abstract:
Morphological operators such as erosion, dilation, opening and closing have been used for image processing. These classical operators modify an image feature based only on the size and polarity of that feature. We introduce a 3 by 3 pixel operator which can be used to perform repeated erosion and dilation like operations that are functions of not only size and polarity, but also local derivatives or ratios of adjacent pixel values. These operations can be mixed to implement new types of nonlinear filtering functions. Examples are given in 1 and 2 dimensions.read more
References
More filters
Journal ArticleDOI
Introduction to mathematical morphology
TL;DR: In this article, morphologie euclidienne, erosion et notions derivees, ouvertures et fermetures, amincissements et epaississements
Journal ArticleDOI
Application of morphological transformations to the analysis of two-dimensional electrophoretic gels of biological materials
TL;DR: The digitized image of a 2D gel is a visual representation of a much larger number of proteins than has ever been visualized before, and has a large number of potential applications to both basic biology and medicine.
Proceedings ArticleDOI
Mathematical Morphology Techniques For Image Processing Applications In Biomedical Imaging
TL;DR: Now that the basic algorithm has been shown to work, optimization of the software will be performed to improve its speed and future improvements such as local adaptive thresholding will be made to the image analysis routine to further improve the systems accuracy.
Proceedings ArticleDOI
Feature-Size Dependent Selective Edge Enhancement Of X-Ray Images
TL;DR: In this article, a variation of the rolling ball algorithm is presented, which is based on the theory of mathematical morphology as formulated by Matheron [1] and Serra [2,3] and can be used for edge enhancement.
Proceedings ArticleDOI
An Introduction To Sifting Theory
TL;DR: Sifting theory models these operators in a manner that allows intuitive parallels to be drawn to analogous linear filtering procedures as discussed by the authors, which can provide guidance on how to utilize these available techniques and synthesize new ones.
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