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Author
Sergio Vera; Debora Gil; Agnes Borras; F. Javier Sanchez; Frederic Perez; Marius G. Linguraru; Miguel Angel Gonzalez Ballester
Title
Computation and Evaluation of Medial Surfaces for Shape Representation of Abdominal Organs
Type
Book Chapter
Year
2012
Publication
Workshop on Computational and Clinical Applications in Abdominal Imaging
Abbreviated Journal
Volume
7029
Issue
Pages
223–230
Keywords
medial manifolds, abdomen.
Abstract
Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D
objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial
manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our
method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs,
exploring the use of medial manifolds for the representation of multi-organ relations.
Address
Toronto; Canada;
Corporate Author
Thesis
Publisher
Springer Link
Place of Publication
Berlin
Editor
H. Yoshida et al
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Lecture Notes in Computer Science
Abbreviated Series Title
LNCS
Series Volume
Series Issue
Edition
ISSN
0302-9743
ISBN
978-3-642-28556-1
Medium
Area
Expedition
Conference
ABDI
Notes
IAM;MV
Approved
no
Call Number
IAM @ iam @ VGB2012
Serial
1834
Permanent link to this record
Author
Debora Gil; David Roche; Agnes Borras; Jesus Giraldo
Title
Terminating Evolutionary Algorithms at their Steady State
Type
Journal Article
Year
2015
Publication
Computational Optimization and Applications
Abbreviated Journal
COA
Volume
61
Issue
2
Pages
489-515
Keywords
Evolutionary algorithms; Termination condition; Steady state; Differential evolution
Abstract
Assessing the reliability of termination conditions for evolutionary algorithms (EAs) is of prime importance. An erroneous or weak stop criterion can negatively affect both the computational effort and the final result. We introduce a statistical framework for assessing whether a termination condition is able to stop an EA at its steady state, so that its results can not be improved anymore. We use a regression model in order to determine the requirements ensuring that a measure derived from EA evolving population is related to the distance to the optimum in decision variable space. Our framework is analyzed across 24 benchmark test functions and two standard termination criteria based on function fitness value in objective function space and EA population decision variable space distribution for the differential evolution (DE) paradigm. Results validate our framework as a powerful tool for determining the capability of a measure for terminating EA and the results also identify the decision variable space distribution as the best-suited for accurately terminating DE in real-world applications.
Address
Corporate Author
Thesis
Publisher
Springer US
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
0926-6003
ISBN
Medium
Area
Expedition
Conference
Notes
IAM; 600.044; 605.203; 600.060; 600.075
Approved
no
Call Number
Admin @ si @ GRB2015
Serial
2560
Permanent link to this record
Author
Francesc Tous; Agnes Borras; Robert Benavente; Ramon Baldrich; Maria Vanrell; Josep Llados
Title
Textual Descriptions for Browsing People by Visual Apperance.
Type
Book Chapter
Year
2002
Publication
Lecture Notes in Artificial Intelligence
Abbreviated Journal
Volume
2504
Issue
Pages
419-429
Keywords
Abstract
This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building
Address
Corporate Author
Thesis
Publisher
Springer Verlag
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
DAG;CIC
Approved
no
Call Number
CAT @ cat @ TBB2002b
Serial
319
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