A multi-scale texture classifier based on multi-resolution 'tuned' mask

H. A. Cohen; Jia You

doi:10.1016/0167-8655(92)90095-H

A multi-scale texture classifier based on multi-resolution 'tuned' mask

H. A. Cohen
, Jia You

Research output: Journal article publication › Journal article › Academic research › peer-review

7 Citations (Scopus)

Abstract

Using a multi-resolution texture 'tuned' mask, we have realized a multi-scale texture classifier for effective segmentation of collages of Brodatz textures at various scales. Our mask tuning optimizes a performance index via a guided random search over a range of scales using a dynamic data structure.

Original language	English
Pages (from-to)	599-604
Number of pages	6
Journal	Pattern Recognition Letters
Volume	13
Issue number	8
DOIs	https://doi.org/10.1016/0167-8655(92)90095-H
Publication status	Published - 1 Jan 1992

Keywords

classifier
convolution
image segmentation
Multi-scale
texture discrimination
texture energy
tuned mask

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/0167-8655(92)90095-H

Cite this

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title = "A multi-scale texture classifier based on multi-resolution 'tuned' mask",

abstract = "Using a multi-resolution texture 'tuned' mask, we have realized a multi-scale texture classifier for effective segmentation of collages of Brodatz textures at various scales. Our mask tuning optimizes a performance index via a guided random search over a range of scales using a dynamic data structure.",

keywords = "classifier, convolution, image segmentation, Multi-scale, texture discrimination, texture energy, tuned mask",

author = "Cohen, \{H. A.\} and Jia You",

year = "1992",

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AU - You, Jia

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N2 - Using a multi-resolution texture 'tuned' mask, we have realized a multi-scale texture classifier for effective segmentation of collages of Brodatz textures at various scales. Our mask tuning optimizes a performance index via a guided random search over a range of scales using a dynamic data structure.

AB - Using a multi-resolution texture 'tuned' mask, we have realized a multi-scale texture classifier for effective segmentation of collages of Brodatz textures at various scales. Our mask tuning optimizes a performance index via a guided random search over a range of scales using a dynamic data structure.

KW - classifier

KW - convolution

KW - image segmentation

KW - Multi-scale

KW - texture discrimination

KW - texture energy

KW - tuned mask

UR - https://www.scopus.com/pages/publications/0027067157

U2 - 10.1016/0167-8655(92)90095-H

DO - 10.1016/0167-8655(92)90095-H

M3 - Journal article

SN - 0167-8655

VL - 13

SP - 599

EP - 604

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 8

ER -

A multi-scale texture classifier based on multi-resolution 'tuned' mask

Abstract

Keywords

ASJC Scopus subject areas

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