Image Formalization via Descriptive Image Algebras

Igor Gurevich; Vera Yashina

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Image Formalization via Descriptive Image Algebras

In Proceedings of the Third International Workshop on Image Mining Theory and Applications - Volume 0VISIGRAPP, 19-28, 2010 , Angers, France

Authors: Igor Gurevich and Vera Yashina

Affiliation: The Institution of the Russian Academy of Sciences, Russian Federation

Abstract: In the framework of the Descriptive approach to image analysis and understanding, the concept of Image Formalization Space (IFS) is introduced. The elements of IFS are the different image representation forms through which a raw image passes while it is transformed into a recognizable form, i.e., into an image model. The structure and the main objects of the IFS are characterized and discussed. A system of concepts and a formal apparatus of descriptive image models are introduced to state the main axioms constituting the conceptual foundation for image formalization in image analysis and recognition. The topology of IFS is given by descriptive image algebra defining operations on pixels and their configurations, on pixel values, and on image states constructed using these operations.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 216.73.216.77

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Gurevich, I., Yashina and V. (2010). Image Formalization via Descriptive Image Algebras. In Proceedings of the Third International Workshop on Image Mining Theory and Applications (VISIGRAPP 2010) - IMTA; ISBN 978-989-674-030-6, SciTePress, pages 19-28. DOI: 10.5220/0002961500190028

@conference{imta10,
author={Igor Gurevich and Vera Yashina},
title={Image Formalization via Descriptive Image Algebras},
booktitle={Proceedings of the Third International Workshop on Image Mining Theory and Applications (VISIGRAPP 2010) - IMTA},
year={2010},
pages={19-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002961500190028},
isbn={978-989-674-030-6},
}

TY - CONF

JO - Proceedings of the Third International Workshop on Image Mining Theory and Applications (VISIGRAPP 2010) - IMTA
TI - Image Formalization via Descriptive Image Algebras
SN - 978-989-674-030-6
AU - Gurevich, I.
AU - Yashina, V.
PY - 2010
SP - 19
EP - 28
DO - 10.5220/0002961500190028
PB - SciTePress