Segmenting modulated line textures with S-Gabor filters

S J  Hickinbotham; E R  Hancock; J  Austin

doi:10.1109/ICIP.1996.560405

Segmenting modulated line textures with S-Gabor filters

S J Hickinbotham, E R Hancock, J Austin

Computer Science

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

Abstract

This paper describes a novel technique for segmenting frequency modulated line-textures. Textures of this sort abound in nature and are typified by growth patterns in which the deposition rate varies over time. The basic idea underpinning the technique is to use the S-Gabor kernel as a frequency modulated channel response function. According to this channel model, the central frequency changes exponentially with distance from the centre of the kernel. In order to segment the resulting texture response, we use fuzzy clustering to locate peaks in the Fourier power spectrum. In this way we estimate both the centre-frequency and the modulation parameters of the filter bank. We illustrate the effectiveness of our technique on the segmentation of growth patterns on fish scales

Original language	English
Title of host publication	INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL III
Place of Publication	NEW YORK
Publisher	IEEE Computer Society
Pages	149-152
Number of pages	4
Volume	3
ISBN (Print)	0-7803-3259-8
DOIs	https://doi.org/10.1109/ICIP.1996.560405
Publication status	Published - 1996

Bibliographical note

Copyright © 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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10.1109/ICIP.1996.560405

austinj19.pdf

http://dx.doi.org/10.1109/ICIP.1996.560405

Cite this

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title = "Segmenting modulated line textures with S-Gabor filters",

abstract = "This paper describes a novel technique for segmenting frequency modulated line-textures. Textures of this sort abound in nature and are typified by growth patterns in which the deposition rate varies over time. The basic idea underpinning the technique is to use the S-Gabor kernel as a frequency modulated channel response function. According to this channel model, the central frequency changes exponentially with distance from the centre of the kernel. In order to segment the resulting texture response, we use fuzzy clustering to locate peaks in the Fourier power spectrum. In this way we estimate both the centre-frequency and the modulation parameters of the filter bank. We illustrate the effectiveness of our technique on the segmentation of growth patterns on fish scales",

author = "Hickinbotham, {S J} and Hancock, {E R} and J Austin",

note = "Copyright {\textcopyright} 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",

year = "1996",

doi = "10.1109/ICIP.1996.560405",

language = "English",

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T1 - Segmenting modulated line textures with S-Gabor filters

AU - Hickinbotham, S J

AU - Hancock, E R

AU - Austin, J

N1 - Copyright © 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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N2 - This paper describes a novel technique for segmenting frequency modulated line-textures. Textures of this sort abound in nature and are typified by growth patterns in which the deposition rate varies over time. The basic idea underpinning the technique is to use the S-Gabor kernel as a frequency modulated channel response function. According to this channel model, the central frequency changes exponentially with distance from the centre of the kernel. In order to segment the resulting texture response, we use fuzzy clustering to locate peaks in the Fourier power spectrum. In this way we estimate both the centre-frequency and the modulation parameters of the filter bank. We illustrate the effectiveness of our technique on the segmentation of growth patterns on fish scales

AB - This paper describes a novel technique for segmenting frequency modulated line-textures. Textures of this sort abound in nature and are typified by growth patterns in which the deposition rate varies over time. The basic idea underpinning the technique is to use the S-Gabor kernel as a frequency modulated channel response function. According to this channel model, the central frequency changes exponentially with distance from the centre of the kernel. In order to segment the resulting texture response, we use fuzzy clustering to locate peaks in the Fourier power spectrum. In this way we estimate both the centre-frequency and the modulation parameters of the filter bank. We illustrate the effectiveness of our technique on the segmentation of growth patterns on fish scales

U2 - 10.1109/ICIP.1996.560405

DO - 10.1109/ICIP.1996.560405

M3 - Conference contribution

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SP - 149

EP - 152

BT - INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, PROCEEDINGS - VOL III

PB - IEEE Computer Society

CY - NEW YORK

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