Results 251 to 260 of about 295,649 (274)

Morphological operations on Delaunay triangulations

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
Algorithms are presented which allow us to perform morphological transformations on unorganised sets of points represented by their Delaunay triangulation. The results show that these algorithms could behave as morphological operators such as erosion, dilatation, and opening do. They actually act as "shape filters".
N. Lomenie, L. Gallo, N. Cambou, G. Stamon   +3 more
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Multivariate self-dual morphological operators

2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 2014
Self-dual morphological operators (SDMO) do not rely on whether one starts the sequence with erosion or dilation, they treat the image foreground and background identically. Nevertheless, it is difficult to extend SDMO to multi-channel images. Based on the self-duality property of traditional morphological operators and the theory of extremum ...
Tao Lei, Yangyu Fan, Zhe Guo, Feng Wei, Weihua Liu   +4 more
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Basis decomposition of morphological operations

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 2003
Promotes the use of basis decomposition of discrete gray-scale structuring elements to design and apply morphological filters. Matheron (1975) has proved that many morphologic operations can be expressed as a single maximum of erosions by a set of basis filters.
R. Jones, I. Svalbe
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Novel Binary Adaptive Morphological Operators

2018 12th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID), 2018
In this paper, novel binary adaptive neighborhood morphological operators are proposed to solve the problem that the fixed structure elements cannot adapt to the whole image when processing images in classical mathematical morphology. The key of adaptive morphology is to select suitable structure elements according to the different attributes of an ...
Yanbo Li, Junping Wang
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Image compression by morphological operators

IEEE International Geoscience and Remote Sensing Symposium, 2003
Image compression techniques generally rely on the results of information theory. A decorrelation of the signal followed by quantization and entropy coding of the information to transmit achieves image compression. Mathematical morphology can be considered a shape-oriented approach to signal processing and some of its features are useful for ...
R.B. Inampudi, T.N. Purimetla, P.V. Suresh   +2 more
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Multilevel Training of Binary Morphological Operators

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
The design of binary morphological operators that are translation-invariant and locally defined by a finite neighborhood window corresponds to the problem of designing Boolean functions. As in any supervised classification problem, morphological operators designed from training sample also suffer from overfitting.
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Deletion Operations Targeting Morphological Markedness

2012
This chapter focuses on the interaction of morphological markedness constraints with the feature-deletion and terminal-deletion operations of Impoverishment and Obliteration. We examine both context-free markedness (the marked value of a particular binary feature) and context-sensitive markedness (the marked combination of certain feature-values in the
Karlos Arregi, Andrew Nevins
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Shape registration by morphological operations

SPIE Proceedings, 1991
The registration of shapes in two images appears as an indispensable step in many applications such as analysis of dynamic scenes involving shape matching. In this paper, we compute the corresponding shape specific points, which are invariant in rotation, scale, and translation, between two misaligned shapes by morphological operations.
Long-Wen Chang, Mong-Jean Tsai
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Morphological operations on fuzzy sets

Fifth International Conference on Image Processing and its Applications, 1995
One can analyse the structure of a binary image by looking at patterns of a certain shape at different places on the image. This idea of describing the image by looking at similar patterns at various locations is quantified in mathematical morphology by the concept of a structuring element.
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Morphological Operations

2020
Ravishankar Chityala, Sridevi Pudipeddi
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