Certainty measure of pairwise line segment perceptual relations using fuzzy logic

José Rouco; Marta Penas; Manuel G. Penedo; Marcos Ortega; Carmen Alonso-Montes

Certainty measure of pairwise line segment perceptual relations using fuzzy logic

José Rouco^*
, Marta Penas
, Manuel G. Penedo
, Marcos Ortega
, Carmen Alonso-Montes

^*Corresponding author for this work

University of A Coruna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Perceptual grouping is an important part of many computer vision systems. When inferring a new grouping from the primitive features there is always an uncertainty degree on this detection, that might be useful in further reasonings. In this paper, we present a fuzzy logic based system for the computation of the certainties assigned to pairwise line segment relations and introduce its application to the detection of continuity, identity, junction, L-junction, incidence, T-junction and parallelism relations. The results presented show that the proposed method might be very promising for future applications.

Original language	English
Title of host publication	Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings
Pages	477-486
Number of pages	10
Publication status	Published - 2007
Externally published	Yes
Event	12th Iberoamerican Congress on Pattern Recognition, CIARP 2007 - Vina del Mar-Valparaiso, Chile Duration: 13 Nov 2007 → 16 Nov 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4756 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th Iberoamerican Congress on Pattern Recognition, CIARP 2007
Country/Territory	Chile
City	Vina del Mar-Valparaiso
Period	13/11/07 → 16/11/07

Keywords

Certainty
Fuzzy logic
Perceptual grouping

Cite this

Rouco, J., Penas, M., Penedo, M. G., Ortega, M., & Alonso-Montes, C. (2007). Certainty measure of pairwise line segment perceptual relations using fuzzy logic. In Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings (pp. 477-486). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4756 LNCS).

Rouco, José ; Penas, Marta ; Penedo, Manuel G. et al. / Certainty measure of pairwise line segment perceptual relations using fuzzy logic. Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings. 2007. pp. 477-486 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{1e18ff9e77804a82b88b145b56c90eff,

title = "Certainty measure of pairwise line segment perceptual relations using fuzzy logic",

abstract = "Perceptual grouping is an important part of many computer vision systems. When inferring a new grouping from the primitive features there is always an uncertainty degree on this detection, that might be useful in further reasonings. In this paper, we present a fuzzy logic based system for the computation of the certainties assigned to pairwise line segment relations and introduce its application to the detection of continuity, identity, junction, L-junction, incidence, T-junction and parallelism relations. The results presented show that the proposed method might be very promising for future applications.",

keywords = "Certainty, Fuzzy logic, Perceptual grouping",

author = "Jos{\'e} Rouco and Marta Penas and Penedo, \{Manuel G.\} and Marcos Ortega and Carmen Alonso-Montes",

year = "2007",

language = "English",

isbn = "9783540767244",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "477--486",

booktitle = "Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings",

note = "12th Iberoamerican Congress on Pattern Recognition, CIARP 2007 ; Conference date: 13-11-2007 Through 16-11-2007",

}

Rouco, J, Penas, M, Penedo, MG, Ortega, M & Alonso-Montes, C 2007, Certainty measure of pairwise line segment perceptual relations using fuzzy logic. in Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4756 LNCS, pp. 477-486, 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Vina del Mar-Valparaiso, Chile, 13/11/07.

Certainty measure of pairwise line segment perceptual relations using fuzzy logic. / Rouco, José; Penas, Marta; Penedo, Manuel G. et al.
Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings. 2007. p. 477-486 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4756 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Certainty measure of pairwise line segment perceptual relations using fuzzy logic

AU - Rouco, José

AU - Penas, Marta

AU - Penedo, Manuel G.

AU - Ortega, Marcos

AU - Alonso-Montes, Carmen

PY - 2007

Y1 - 2007

N2 - Perceptual grouping is an important part of many computer vision systems. When inferring a new grouping from the primitive features there is always an uncertainty degree on this detection, that might be useful in further reasonings. In this paper, we present a fuzzy logic based system for the computation of the certainties assigned to pairwise line segment relations and introduce its application to the detection of continuity, identity, junction, L-junction, incidence, T-junction and parallelism relations. The results presented show that the proposed method might be very promising for future applications.

AB - Perceptual grouping is an important part of many computer vision systems. When inferring a new grouping from the primitive features there is always an uncertainty degree on this detection, that might be useful in further reasonings. In this paper, we present a fuzzy logic based system for the computation of the certainties assigned to pairwise line segment relations and introduce its application to the detection of continuity, identity, junction, L-junction, incidence, T-junction and parallelism relations. The results presented show that the proposed method might be very promising for future applications.

KW - Certainty

KW - Fuzzy logic

KW - Perceptual grouping

UR - https://www.scopus.com/pages/publications/38449084155

M3 - Conference contribution

AN - SCOPUS:38449084155

SN - 9783540767244

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 477

EP - 486

BT - Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings

T2 - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007

Y2 - 13 November 2007 through 16 November 2007

ER -

Rouco J, Penas M, Penedo MG, Ortega M, Alonso-Montes C. Certainty measure of pairwise line segment perceptual relations using fuzzy logic. In Progress in Pattern Recognition, Image Analysis and Applications - 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, Proceedings. 2007. p. 477-486. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Certainty measure of pairwise line segment perceptual relations using fuzzy logic

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