Comparative Frameworks for Directional Primitive Extraction

M Penas; M Carreira; M Penedo; M Mirmehdi; B Thomas

Comparative Frameworks for Directional Primitive Extraction

M Penas
, M Carreira
, M Penedo
, M Mirmehdi
, B Thomas

Bristol Robotics Laboratory

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

Abstract

This paper introduces two alternative computational frameworks for the extraction of the directional primitives present in an image. Both frameworks are divided into three stages: low level primitive extraction, organisation of low level primitives by means of dynamical neural networks (growing cell structures) and segment extraction through a pseudo-colour Hough transform. The alternative frameworks are compared and their relative advantages and disadvantages are outlined.

Translated title of the contribution	Comparative Frameworks for Directional Primitive Extraction
Original language	English
Title of host publication	Unknown
Publisher	Springer Berlin Heidelberg
Pages	212 - 219
Number of pages	7
ISBN (Print)	3540232230
Publication status	Published - Sept 2004

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Conference Proceedings/Title of Journal: Proceedings of the 1st International Conference on Image Analysis and Recognition

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@inproceedings{c9452dafbcde4344a08917e62cbdfb98,

title = "Comparative Frameworks for Directional Primitive Extraction",

abstract = " This paper introduces two alternative computational frameworks for the extraction of the directional primitives present in an image. Both frameworks are divided into three stages: low level primitive extraction, organisation of low level primitives by means of dynamical neural networks (growing cell structures) and segment extraction through a pseudo-colour Hough transform. The alternative frameworks are compared and their relative advantages and disadvantages are outlined. ",

author = "M Penas and M Carreira and M Penedo and M Mirmehdi and B Thomas",

note = "Conference Proceedings/Title of Journal: Proceedings of the 1st International Conference on Image Analysis and Recognition",

year = "2004",

month = sep,

language = "English",

isbn = "3540232230",

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T1 - Comparative Frameworks for Directional Primitive Extraction

AU - Penas, M

AU - Carreira, M

AU - Penedo, M

AU - Mirmehdi, M

AU - Thomas, B

N1 - Conference Proceedings/Title of Journal: Proceedings of the 1st International Conference on Image Analysis and Recognition

PY - 2004/9

Y1 - 2004/9

N2 - This paper introduces two alternative computational frameworks for the extraction of the directional primitives present in an image. Both frameworks are divided into three stages: low level primitive extraction, organisation of low level primitives by means of dynamical neural networks (growing cell structures) and segment extraction through a pseudo-colour Hough transform. The alternative frameworks are compared and their relative advantages and disadvantages are outlined.

AB - This paper introduces two alternative computational frameworks for the extraction of the directional primitives present in an image. Both frameworks are divided into three stages: low level primitive extraction, organisation of low level primitives by means of dynamical neural networks (growing cell structures) and segment extraction through a pseudo-colour Hough transform. The alternative frameworks are compared and their relative advantages and disadvantages are outlined.

M3 - Conference Contribution (Conference Proceeding)

SN - 3540232230

SP - 212

EP - 219

BT - Unknown

PB - Springer Berlin Heidelberg

ER -

Comparative Frameworks for Directional Primitive Extraction

Abstract

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