The Generation of N Dimensional Shape Primitives
نویسندگان
چکیده
This paper describes a method to accelerate the generation of shape primitives for N-dimensional images N X . These shape primitives can be used in conditions for topology preserving erosion or skeletonization in Ndimensional images. The method is based on the possibility to describe primitives for intrinsic dimensions 1 N N = − % by quadratic equations of the form ( ) 1 2
منابع مشابه
Discrete topology on N-dimensional square tessellated grids
Topology preservation and detection is a well known concept in the processing of 2and 3-dimensional binary images. These images can be considered as sets that are mapped on square tessellated (hyper cubic) grids. This paper describes how the formalisms derived for 2D and 3D images can be expanded to N-dimensional images, i.e. binary point sets that are aligned on an N-dimensional square tessell...
متن کاملSkeletons in N dimensions using shape primitives
This paper describes the generation of shape primitive detecting masks and their application in measurements on shapes as well as in conditions for topology preservation as used in skeletonization. The formalism is expanded from twoto four-dimensional images and elaborates on the extension of 3D skeletonization to 4D skeletonization. 2002 Elsevier Science B.V. All rights reserved.
متن کاملEntropy Generation of Double Diffusive Natural Convection in a Three Dimensional Differentially Heated Enclosure
Entropy generation of double diffusive natural convection in a three dimensional differentially heated enclosure has been performed numerically. Vertical walls of enclosure are heated differentially and remaining walls are adiabatic. The obtained results were presented via iso-concentration, iso-temperatures, velocity vector projection, particle trajectories, velocity profiles, iso-entropy, loc...
متن کاملRecognition with Second-Order Topographic Surface Features
We previously[3] defined eight second-order volumetric primitives and then showed[4] that they can be extracted from range data. This paper shows that by using them model matching is more efficient, because the shape vocabulary reduces the combinatorial generation of hypotheses. With the model-to-data correspondences, accurate three dimensional model location is possible.
متن کاملLightweight 4x4 MDS Matrices for Hardware-Oriented Cryptographic Primitives
Linear diffusion layer is an important part of lightweight block ciphers and hash functions. This paper presents an efficient class of lightweight 4x4 MDS matrices such that the implementation cost of them and their corresponding inverses are equal. The main target of the paper is hardware oriented cryptographic primitives and the implementation cost is measured in terms of the required number ...
متن کامل