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Journal ArticleDOI

A method for representing 3D tree objects using chain coding

TLDR
This work describes a method for representing 3D (three-dimensional) tree objects by means of a chain code and obtains some tree descriptors of objects on real images, which preserves the shape of trees and allows us to know their geometrical and topological properties.
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This article is published in Journal of Visual Communication and Image Representation.The article was published on 2008-04-01. It has received 22 citations till now. The article focuses on the topics: K-ary tree & Interval tree.

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Citations
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Journal ArticleDOI

A new relative chain code in 3D

TL;DR: A new chain code to represent 3D discrete curves is proposed, based on a search for relative changes in the 3D Euclidean space, and an alphabet of only 25 symbols is required to represent any face, edge or vertex-connected discrete curve.
Journal ArticleDOI

Proposing a new code by considering pieces of discrete straight lines in contour shapes

TL;DR: The proposed MDF9 code, introduced, gives better compression efficiency than existing codes and is compared with the six well-known contour codes for compression without loss of information.
Journal ArticleDOI

Representation of enclosing surfaces from simple voxelized objects by means of a chain code

TL;DR: A chain code for representing three-dimensional (3D) simple objects is defined and the descriptor is invariant under rotation and translation, and some results of this code applied to large objects are presented and its convenience over other codes is demonstrated.
Proceedings ArticleDOI

Valence Normalized Spatial Median for skeletonization and matching

TL;DR: By integrating a robust skeletonization technique with 3D chain coding, the proposed algorithm can compare not only the skeleton topology but also the curvature of skeleton segments and measure shape dissimilarity.
Journal ArticleDOI

Implicit Modeling of Patient-Specific Aortic Dissections with Elliptic Fourier Descriptors

TL;DR: The approach is a step forward to an automated generation of surface models for aortic dissections from raw 3D imaging segmentation masks and employs elliptic Fourier descriptors, which allows users to control the accuracy of the cross‐sectional contour of a flow channel.
References
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Book

Pattern classification and scene analysis

TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Book

Graph theory with applications

J. A. Bondy
TL;DR: In this paper, the authors present Graph Theory with Applications: Graph theory with applications, a collection of applications of graph theory in the field of Operational Research and Management. Journal of the Operational research Society: Vol. 28, Volume 28, issue 1, pp. 237-238.
Book

Computer vision