The aim of this paper is the description of an
experiment carried out to verify the robustness of two
different approaches for the reconstruction of convex
polyominoes in discrete tomography. This is a new field
of research, because it differs from classic
computerised tomography, and several problems are still
open. In particular, the stability problem is tackled
by using both a modified version of a known algorithm
and a new genetic approach. The effect of both,
instrumental and quantisation noises has been
considered too.
%0 Journal Article
%1 Valenti:2008:GPEM
%A Valenti, Cesare
%D 2008
%J Genetic Programming and Evolvable Machines
%K Discrete Stability algorithms, genetic problem tomography,
%N 1
%P 85--96
%R doi:10.1007/s10710-007-9051-9
%T A genetic algorithm for discrete tomography
reconstruction
%V 9
%X The aim of this paper is the description of an
experiment carried out to verify the robustness of two
different approaches for the reconstruction of convex
polyominoes in discrete tomography. This is a new field
of research, because it differs from classic
computerised tomography, and several problems are still
open. In particular, the stability problem is tackled
by using both a modified version of a known algorithm
and a new genetic approach. The effect of both,
instrumental and quantisation noises has been
considered too.
@article{Valenti:2008:GPEM,
abstract = {The aim of this paper is the description of an
experiment carried out to verify the robustness of two
different approaches for the reconstruction of convex
polyominoes in discrete tomography. This is a new field
of research, because it differs from classic
computerised tomography, and several problems are still
open. In particular, the stability problem is tackled
by using both a modified version of a known algorithm
and a new genetic approach. The effect of both,
instrumental and quantisation noises has been
considered too.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Valenti, Cesare},
biburl = {https://www.bibsonomy.org/bibtex/214708facae0661ce55d4f6758cdb8702/brazovayeye},
doi = {doi:10.1007/s10710-007-9051-9},
interhash = {3a65bf7b140db8019464965bc1579698},
intrahash = {14708facae0661ce55d4f6758cdb8702},
issn = {1389-2576},
journal = {Genetic Programming and Evolvable Machines},
keywords = {Discrete Stability algorithms, genetic problem tomography,},
month = {March},
number = 1,
pages = {85--96},
size = {12 pages},
timestamp = {2008-06-19T17:53:29.000+0200},
title = {A genetic algorithm for discrete tomography
reconstruction},
volume = 9,
year = 2008
}