2-B dikgen özbaǧlanimli kafes yapilari ile doku bölütleme

Saide Zeynep Aykut; Işin Erer

doi:10.1109/SIU.2005.1567699

2-B dikgen özbaǧlanimli kafes yapilari ile doku bölütleme

Translated title of the contribution: Texture segmentation by 2-D orthogonal autoregressive lattice structures

Saide Zeynep Aykut^*, Işin Erer

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

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

Abstract

Image segmentation is one of the primary steps in image analysis. The purpose of segmentation is to partition the image into homogeneous regions. Features are of major importance in image segmentation. Features are used to get special information that belongs to a particular category. In this work, a new method is proposed in which features used for segmentation are reflection coefficients of the two-dimensional(2-D) orthogonal lattice filter structures. The proposed method is compared with the discrete wavelet transform which is a common segmentation algorithm. A minimum distance classifier is used in the classification algorithms. Selected image is formed from Brodatz texture images.

Translated title of the contribution	Texture segmentation by 2-D orthogonal autoregressive lattice structures
Original language	Turkish
Title of host publication	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Pages	376-379
Number of pages	4
DOIs	https://doi.org/10.1109/SIU.2005.1567699
Publication status	Published - 2005
Event	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 - Kayseri, Turkey Duration: 16 May 2005 → 18 May 2005

Publication series

Name	Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Volume	2005

Conference

Conference	IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005
Country/Territory	Turkey
City	Kayseri
Period	16/05/05 → 18/05/05

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10.1109/SIU.2005.1567699

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Aykut, S. Z., & Erer, I. (2005). 2-B dikgen özbaǧlanimli kafes yapilari ile doku bölütleme. In Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 (pp. 376-379). Article 1567699 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Vol. 2005). https://doi.org/10.1109/SIU.2005.1567699

@inproceedings{ea5a7424d6cb4b608474c220ad0edc4b,

title = "2-B dikgen {\"o}zbaǧlanimli kafes yapilari ile doku b{\"o}l{\"u}tleme",

abstract = "Image segmentation is one of the primary steps in image analysis. The purpose of segmentation is to partition the image into homogeneous regions. Features are of major importance in image segmentation. Features are used to get special information that belongs to a particular category. In this work, a new method is proposed in which features used for segmentation are reflection coefficients of the two-dimensional(2-D) orthogonal lattice filter structures. The proposed method is compared with the discrete wavelet transform which is a common segmentation algorithm. A minimum distance classifier is used in the classification algorithms. Selected image is formed from Brodatz texture images.",

author = "Aykut, {Saide Zeynep} and I{\c s}in Erer",

year = "2005",

doi = "10.1109/SIU.2005.1567699",

language = "T{\"u}rk{\c c}e",

isbn = "0780392396",

series = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",

pages = "376--379",

booktitle = "Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005",

note = "IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 ; Conference date: 16-05-2005 Through 18-05-2005",

}

Aykut, SZ & Erer, I 2005, 2-B dikgen özbaǧlanimli kafes yapilari ile doku bölütleme. in Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005., 1567699, Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, vol. 2005, pp. 376-379, IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Turkey, 16/05/05. https://doi.org/10.1109/SIU.2005.1567699

2-B dikgen özbaǧlanimli kafes yapilari ile doku bölütleme. / Aykut, Saide Zeynep; Erer, Işin.
Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005. 2005. p. 376-379 1567699 (Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005; Vol. 2005).

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

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AU - Erer, Işin

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N2 - Image segmentation is one of the primary steps in image analysis. The purpose of segmentation is to partition the image into homogeneous regions. Features are of major importance in image segmentation. Features are used to get special information that belongs to a particular category. In this work, a new method is proposed in which features used for segmentation are reflection coefficients of the two-dimensional(2-D) orthogonal lattice filter structures. The proposed method is compared with the discrete wavelet transform which is a common segmentation algorithm. A minimum distance classifier is used in the classification algorithms. Selected image is formed from Brodatz texture images.

AB - Image segmentation is one of the primary steps in image analysis. The purpose of segmentation is to partition the image into homogeneous regions. Features are of major importance in image segmentation. Features are used to get special information that belongs to a particular category. In this work, a new method is proposed in which features used for segmentation are reflection coefficients of the two-dimensional(2-D) orthogonal lattice filter structures. The proposed method is compared with the discrete wavelet transform which is a common segmentation algorithm. A minimum distance classifier is used in the classification algorithms. Selected image is formed from Brodatz texture images.

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DO - 10.1109/SIU.2005.1567699

M3 - Konferans katkısı

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SN - 0780392396

SN - 9780780392397

T3 - Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

SP - 376

EP - 379

BT - Proceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

T2 - IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005

Y2 - 16 May 2005 through 18 May 2005

ER -

2-B dikgen özbaǧlanimli kafes yapilari ile doku bölütleme

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