Abstract
The first part of the thesis is concerned with the quality control of the detection modules and three analysis methods are studied and compared: spectral analysis, distribution function method and correlation form measurement; implementation of the spectral analysis technique is then described. The second part is concerned with the non controlled identification of the Z lines; an image processing approach is adopted which handles the peak line recognition problem as an edge detection problem. A contextual edge detection system with a-priori knowledge is presented. Examples of implementation and integration are given. 44 figs., 59 refs.
Citation Formats
Benkirane, A.
1-D and 2-D processing for on-line control and data analysis assistance for the multidetector 4{pi} INDRA; Traitements 1D et 2D pour l`aide au controle en ligne et au depouillement des donnees du multidetecteur 4{pi} INDRA.
France: N. p.,
1994.
Web.
Benkirane, A.
1-D and 2-D processing for on-line control and data analysis assistance for the multidetector 4{pi} INDRA; Traitements 1D et 2D pour l`aide au controle en ligne et au depouillement des donnees du multidetecteur 4{pi} INDRA.
France.
Benkirane, A.
1994.
"1-D and 2-D processing for on-line control and data analysis assistance for the multidetector 4{pi} INDRA; Traitements 1D et 2D pour l`aide au controle en ligne et au depouillement des donnees du multidetecteur 4{pi} INDRA."
France.
@misc{etde_10112151,
title = {1-D and 2-D processing for on-line control and data analysis assistance for the multidetector 4{pi} INDRA; Traitements 1D et 2D pour l`aide au controle en ligne et au depouillement des donnees du multidetecteur 4{pi} INDRA}
author = {Benkirane, A}
abstractNote = {The first part of the thesis is concerned with the quality control of the detection modules and three analysis methods are studied and compared: spectral analysis, distribution function method and correlation form measurement; implementation of the spectral analysis technique is then described. The second part is concerned with the non controlled identification of the Z lines; an image processing approach is adopted which handles the peak line recognition problem as an edge detection problem. A contextual edge detection system with a-priori knowledge is presented. Examples of implementation and integration are given. 44 figs., 59 refs.}
place = {France}
year = {1994}
month = {Feb}
}
title = {1-D and 2-D processing for on-line control and data analysis assistance for the multidetector 4{pi} INDRA; Traitements 1D et 2D pour l`aide au controle en ligne et au depouillement des donnees du multidetecteur 4{pi} INDRA}
author = {Benkirane, A}
abstractNote = {The first part of the thesis is concerned with the quality control of the detection modules and three analysis methods are studied and compared: spectral analysis, distribution function method and correlation form measurement; implementation of the spectral analysis technique is then described. The second part is concerned with the non controlled identification of the Z lines; an image processing approach is adopted which handles the peak line recognition problem as an edge detection problem. A contextual edge detection system with a-priori knowledge is presented. Examples of implementation and integration are given. 44 figs., 59 refs.}
place = {France}
year = {1994}
month = {Feb}
}