A new 3D parallel thinning scheme based on critical kernels

23Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Critical kernels constitute a general framework settled in the category of abstract complexes for the study of parallel thinning in any dimension. We take advantage of the properties of this framework, and we derive a general methodology for designing parallel algorithms for skeletons of objects in 3D grids. In fact, this methodology does not need to handle the structure of abstract complexes, we show that only 3 masks defined in the classical cubic grid are sufficient to implement it. We illustrate our methodology by giving two new types of skeletons. © Springer-Verlag Berlin Heidelberg 2006.

References Powered by Scopus

Sequential Operations in Digital Picture Processing

1365Citations
N/AReaders
Get full text

Digital topology: Introduction and survey

918Citations
N/AReaders
Get full text

Finite topology as applied to image analysis

353Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A survey on skeletonization algorithms and their applications

302Citations
N/AReaders
Get full text

New characterizations of simple points in 2D, 3D, and 4D discrete spaces

70Citations
N/AReaders
Get full text

A 3D fully parallel surface-thinning algorithm

61Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Bertrand, G., & Couprie, M. (2006). A new 3D parallel thinning scheme based on critical kernels. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4245 LNCS, pp. 580–591). Springer Verlag. https://doi.org/10.1007/11907350_49

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

57%

Researcher 2

29%

Professor / Associate Prof. 1

14%

Readers' Discipline

Tooltip

Computer Science 5

63%

Earth and Planetary Sciences 2

25%

Engineering 1

13%

Save time finding and organizing research with Mendeley

Sign up for free