Results 241 to 250 of about 295,649 (274)

Realisation of morphological operations

IEE Proceedings - Circuits, Devices and Systems, 1995
Multi-input min and max operators are two essential components for dilation and erosion, which are two basic building units for morphological filtering. Many of the more complicated operations of morphological filtering can be decomposed by them. The min or max operator cascades after a bit-serial adder or subtractor is equal to a dilation or erosion ...
C.-H. Cheng, D.-L. Yang
openaire   +1 more source

Generalized Fuzzy Morphological Operators

2005
The adjunction in lattice theory is an important technique in lattice-based mathematical morphology and fuzzy logical operators are indispensable implements in fuzzy morphology. This paper introduces a set-valued mapping that is compatible with the infimum in a complete lattice and with a conjunction in fuzzy logic.
Tingquan Deng, Yanmei Chen
openaire   +1 more source

Pipeline architectures for recursive morphological operations

IEEE Transactions on Image Processing, 1995
Introduces efficient pipeline architectures for the recursive morphological operations. The standard morphological operation is applied directly on the original input image and produces an output image. The order of image scanning in which the operator is applied to the input pixels is irrelevant.
F Y, Shih, C T, King, C C, Pu
openaire   +2 more sources

Morphological rational operator for contrast enhancement

Journal of the Optical Society of America A, 2011
Contrast enhancement is an important task in image processing that is commonly used as a preprocessing step to improve the images for other tasks such as segmentation. However, some methods for contrast improvement that work well in low-contrast regions affect good contrast regions as well. This occurs due to the fact that some elements may vanish.
Hayde, Peregrina-Barreto   +3 more
openaire   +2 more sources

Morphological operators on the unit circle

IEEE Transactions on Image Processing, 2001
Images encoding angular information are common in image analysis. Examples include the hue band of color images, or images encoding directional texture information. Applying mathematical morphology to image data distributed on the unit circle is not immediately possible, as the unit circle is not a lattice.
Hanbury, Allan G., Serra, Jean
openaire   +3 more sources

Relation-based morphological operations

IEEE Winter Workshop on Nonlinear Digital Signal Processing, 2005
In this paper, we propose generalized morphological operations which are defined in terms of relations. Under such generalization, most algebraic properties of dilations and erosions are preserved. Moreover, in terms of these relation-based morphological operations, Matheron's representation theorem can be extended to represent translation-invariant ...
openaire   +1 more source

Some Morphological Operators in Graph Spaces

2009
We study some basic morphological operators acting on the lattice of all subgraphs of a (non-weighted) graph $\mathbb{G}$. To this end, we consider two dual adjunctions between the edge set and the vertex set of $\mathbb{G}$. This allows us (i) to recover the classical notion of a dilation/erosion of a subset of the vertices of $\mathbb{G}$ and (ii) to
Cousty, Jean   +2 more
openaire   +1 more source

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