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Structuring element

About: Structuring element is a research topic. Over the lifetime, 997 publications have been published within this topic receiving 26839 citations.


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Journal ArticleDOI
TL;DR: The algorithm is generalized to erosions and dilations along discrete lines at arbitrary angles and the padding problem is addressed; so that the operation can be performed in place without copying the pixels to and from an intermediate buffer.
Abstract: Van Herk (1992) has shown that the erosion/dilation operator with a linear structuring element of an arbitrary length can be implemented in only three min/max operations per pixel. In this paper, the algorithm is generalized to erosions and dilations along discrete lines at arbitrary angles. We also address the padding problem; so that the operation can be performed in place without copying the pixels to and from an intermediate buffer. Applications to image filtering and to radial decompositions of discs are presented.

151 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented morphological operators with non-fixed shape kernels, or amoebas, which take into account the image contour variations to adapt their shape.

136 citations

Proceedings ArticleDOI
01 Sep 2000
TL;DR: Morphological approach to cell image segmentation more accurate than the classical watershed-based algorithm is introduced and a non-flat disk-shaped structuring element is used to enhance the roundness and compactness of the red cells improving the accuracy of the Classical watershed algorithm.
Abstract: This work describes a part of a malarial image processing system for detecting and classifying malaria parasites in images of Giemsa stained blood slides in order to evaluate the parasitaemia of the blood. A major requirement of the system is an efficient method to segment cell images. This paper introduces morphological approach to cell image segmentation more accurate than the classical watershed-based algorithm. We applied grey scale granulometries based on opening with disk-shaped elements, flat and non-flat. We used a non-flat disk-shaped structuring element to enhance the roundness and compactness of the red cells improving the accuracy of the classical watershed algorithm, while we have used a flat disk-shaped structuring element to separate overlapping cells. These methods make use of knowledge of the red blood cell structure that is not used in existing watershed-based algorithms.

129 citations

Proceedings ArticleDOI
23 Mar 1992
TL;DR: Several nonlinear partial differential equations that model the scale evolution associated with continuous-space multiscale morphological erosions, dilations, openings, and closings are discussed.
Abstract: Several nonlinear partial differential equations that model the scale evolution associated with continuous-space multiscale morphological erosions, dilations, openings, and closings are discussed. These systems relate the infinitesimal evolution of the multiscale signal ensemble in scale space to a nonlinear operator acting on the space of signals. The type of this nonlinear operator is determined by the shape and dimensionality of the structuring element used by the morphological operators, generally taking the form of nonlinear algebraic functions of certain differential operators. >

126 citations

Journal ArticleDOI
TL;DR: Several nonlinear partial differential equations that model the scale evolution associated with continuous-space multiscale morphological erosions, dilations, openings, and closings are discussed.
Abstract: Multiscale signal analysis has emerged as a useful framework for many computer vision and signal processing tasks. Morphological filters can be used to develop nonlinear multiscale operations that have certain advantages over linear multiscale approaches in that they preserve important signal features such as edges. The authors discuss several nonlinear partial differential equations that model the scale evolution associated with continuous-space multiscale morphological erosions, dilations, openings, and closings. These equations relate the rate of change of the multiscale signal ensemble as scale increases to a nonlinear operator acting on the space of signals. The nonlinear operator is characterized by the shape and dimensionality of the structuring element used by the morphological operators, generally taking the form of a nonlinear function of certain partial differential operators. >

121 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20236
202214
202112
202019
201929
201824