Adaptive Pyramid Approach to Texture Segmentation

Stephen W C Lam; Horace H S Ip

doi:10.1007/3-540-57233-3_36

Adaptive Pyramid Approach to Texture Segmentation

Department of Computer Science

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

2 Citations (Scopus)

Abstract

Texture segmentation has long been a challenging task in computer vision. In this paper, we propose an algorithm which segments a structural texture image into homogenous regions. The algorithm is an integration of the Voronoi polygon tessellation and irregular pyramid segmentation techniques. In this paper, both the algorithm and the experimental results are explained in details.

Original language	English
Title of host publication	Computer Analysis of Images and Patterns
Subtitle of host publication	5th International Conference, CAIP '93 - Proceedings
Editors	Dmitry Chetverikov, Walter G. Kropatsch
Publisher	Springer Verlag
Pages	267-274
ISBN (Electronic)	978-3-540-47980-2
ISBN (Print)	978-3-540-57233-6
DOIs	https://doi.org/10.1007/3-540-57233-3_36
Publication status	Published - Sept 1993
Event	5th International Conference on Computer Analysis of Images and Patterns (CAIP '93) - Budapest, Hungary Duration: 13 Sept 1993 → 15 Sept 1993

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer-Verlag
Volume	719
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Conference on Computer Analysis of Images and Patterns (CAIP '93)
Country/Territory	Hungary
City	Budapest
Period	13/09/93 → 15/09/93

Research Keywords

Feature Vector
Texture Image
Voronoi Tessellation
Texture Segmentation
Neighborhood Relationship

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10.1007/3-540-57233-3_36

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@inproceedings{558544ae8684436c820f3642b37c627a,

title = "Adaptive Pyramid Approach to Texture Segmentation",

abstract = "Texture segmentation has long been a challenging task in computer vision. In this paper, we propose an algorithm which segments a structural texture image into homogenous regions. The algorithm is an integration of the Voronoi polygon tessellation and irregular pyramid segmentation techniques. In this paper, both the algorithm and the experimental results are explained in details.",

keywords = "Feature Vector, Texture Image, Voronoi Tessellation, Texture Segmentation, Neighborhood Relationship",

author = "Lam, {Stephen W C} and Ip, {Horace H S}",

year = "1993",

month = sep,

doi = "10.1007/3-540-57233-3_36",

language = "English",

isbn = "978-3-540-57233-6",

series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

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editor = "Dmitry Chetverikov and Kropatsch, {Walter G.}",

booktitle = "Computer Analysis of Images and Patterns",

address = "Germany",

note = "5th International Conference on Computer Analysis of Images and Patterns (CAIP '93) ; Conference date: 13-09-1993 Through 15-09-1993",

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Lam, SWC & Ip, HHS 1993, Adaptive Pyramid Approach to Texture Segmentation. in D Chetverikov & WG Kropatsch (eds), Computer Analysis of Images and Patterns: 5th International Conference, CAIP '93 - Proceedings. Lecture Notes in Computer Science, vol. 719, Springer Verlag, pp. 267-274, 5th International Conference on Computer Analysis of Images and Patterns (CAIP '93), Budapest, Hungary, 13/09/93. https://doi.org/10.1007/3-540-57233-3_36

Adaptive Pyramid Approach to Texture Segmentation. / Lam, Stephen W C; Ip, Horace H S.
Computer Analysis of Images and Patterns: 5th International Conference, CAIP '93 - Proceedings. ed. / Dmitry Chetverikov; Walter G. Kropatsch. Springer Verlag, 1993. p. 267-274 (Lecture Notes in Computer Science; Vol. 719).

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

TY - GEN

T1 - Adaptive Pyramid Approach to Texture Segmentation

AU - Lam, Stephen W C

AU - Ip, Horace H S

PY - 1993/9

Y1 - 1993/9

N2 - Texture segmentation has long been a challenging task in computer vision. In this paper, we propose an algorithm which segments a structural texture image into homogenous regions. The algorithm is an integration of the Voronoi polygon tessellation and irregular pyramid segmentation techniques. In this paper, both the algorithm and the experimental results are explained in details.

AB - Texture segmentation has long been a challenging task in computer vision. In this paper, we propose an algorithm which segments a structural texture image into homogenous regions. The algorithm is an integration of the Voronoi polygon tessellation and irregular pyramid segmentation techniques. In this paper, both the algorithm and the experimental results are explained in details.

KW - Feature Vector

KW - Texture Image

KW - Voronoi Tessellation

KW - Texture Segmentation

KW - Neighborhood Relationship

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U2 - 10.1007/3-540-57233-3_36

DO - 10.1007/3-540-57233-3_36

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

SN - 978-3-540-57233-6

T3 - Lecture Notes in Computer Science

SP - 267

EP - 274

BT - Computer Analysis of Images and Patterns

A2 - Chetverikov, Dmitry

A2 - Kropatsch, Walter G.

PB - Springer Verlag

T2 - 5th International Conference on Computer Analysis of Images and Patterns (CAIP '93)

Y2 - 13 September 1993 through 15 September 1993

ER -

Adaptive Pyramid Approach to Texture Segmentation

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