Junction detection and filtering: A morphological approach

Vicent Caselles; Bartomeu Coll; Jean Michel Morel

doi:10.1109/icip.1996.559541

Junction detection and filtering: A morphological approach

Vicent Caselles
, Bartomeu Coll
, Jean Michel Morel

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

We discuss the physical generation process of images as a combination of basic operations: occlusions, transparencies and contrast changes. These operations generate the essential singularities which we call junctions. We deduce a mathematical and computational model for image analysis according to which the `atoms' of the image must be `pieces of level lines joining junctions', fitting the phenomenological description of Gaetano Kanizsa. A parameter free junction detection algorithm is proposed for the computation of the previously defined `atoms'. Then we propose an adequate modification of the morphological filtering algorithms so that they smooth the `atoms' without altering the junctions. Finally, we give some experiments on real and synthetic images.

Original language	English
Title of host publication	IEEE International Conference on Image Processing
Publisher	IEEE
Pages	493-496
Volume	1
DOIs	https://doi.org/10.1109/icip.1996.559541
Publication status	Published - 1996
Externally published	Yes
Event	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz Duration: 16 Sept 1996 → 19 Sept 1996

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
City	Lausanne, Switz
Period	16/09/96 → 19/09/96

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

We acknowledge partial support by EC Project ”Mathematical Methods for Image Processing”, ref. ERBCBRXCT930095, DGICYT project, ref. PB94-1174 and CNES.

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10.1109/icip.1996.559541

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title = "Junction detection and filtering: A morphological approach",

abstract = "We discuss the physical generation process of images as a combination of basic operations: occlusions, transparencies and contrast changes. These operations generate the essential singularities which we call junctions. We deduce a mathematical and computational model for image analysis according to which the `atoms' of the image must be `pieces of level lines joining junctions', fitting the phenomenological description of Gaetano Kanizsa. A parameter free junction detection algorithm is proposed for the computation of the previously defined `atoms'. Then we propose an adequate modification of the morphological filtering algorithms so that they smooth the `atoms' without altering the junctions. Finally, we give some experiments on real and synthetic images.",

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AU - Morel, Jean Michel

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 1996

Y1 - 1996

N2 - We discuss the physical generation process of images as a combination of basic operations: occlusions, transparencies and contrast changes. These operations generate the essential singularities which we call junctions. We deduce a mathematical and computational model for image analysis according to which the `atoms' of the image must be `pieces of level lines joining junctions', fitting the phenomenological description of Gaetano Kanizsa. A parameter free junction detection algorithm is proposed for the computation of the previously defined `atoms'. Then we propose an adequate modification of the morphological filtering algorithms so that they smooth the `atoms' without altering the junctions. Finally, we give some experiments on real and synthetic images.

AB - We discuss the physical generation process of images as a combination of basic operations: occlusions, transparencies and contrast changes. These operations generate the essential singularities which we call junctions. We deduce a mathematical and computational model for image analysis according to which the `atoms' of the image must be `pieces of level lines joining junctions', fitting the phenomenological description of Gaetano Kanizsa. A parameter free junction detection algorithm is proposed for the computation of the previously defined `atoms'. Then we propose an adequate modification of the morphological filtering algorithms so that they smooth the `atoms' without altering the junctions. Finally, we give some experiments on real and synthetic images.

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U2 - 10.1109/icip.1996.559541

DO - 10.1109/icip.1996.559541

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 1

SP - 493

EP - 496

BT - IEEE International Conference on Image Processing

PB - IEEE

Y2 - 16 September 1996 through 19 September 1996

ER -

Junction detection and filtering: A morphological approach

Abstract

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Bibliographical note

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