Neighbor gray levels as features in pixel classification

Narendra Ahuja; Azriel Rosenfeld; Robert M. Haralick

doi:10.1016/0031-3203(80)90065-5

Neighbor gray levels as features in pixel classification

Narendra Ahuja, Azriel Rosenfeld, Robert M. Haralick

Research output: Contribution to journal › Article › peer-review

Abstract

In segmenting an image by pixel classification, the sequence of gray levels of the pixel's neighbors can be used as a feature vector. This yields classifications at least as good as those obtained using other local properties (e.g., averages or values of difference operators) as features.

Original language	English (US)
Pages (from-to)	251-260
Number of pages	10
Journal	Pattern Recognition
Volume	12
Issue number	4
DOIs	https://doi.org/10.1016/0031-3203(80)90065-5
State	Published - 1980
Externally published	Yes

Keywords

Image Segmentation
Neighborhood operators
Pixel classification

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

Online availability

10.1016/0031-3203(80)90065-5

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title = "Neighbor gray levels as features in pixel classification",

abstract = "In segmenting an image by pixel classification, the sequence of gray levels of the pixel's neighbors can be used as a feature vector. This yields classifications at least as good as those obtained using other local properties (e.g., averages or values of difference operators) as features.",

keywords = "Image Segmentation, Neighborhood operators, Pixel classification",

author = "Narendra Ahuja and Azriel Rosenfeld and Haralick, {Robert M.}",

year = "1980",

doi = "10.1016/0031-3203(80)90065-5",

language = "English (US)",

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journal = "Pattern Recognition",

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AU - Ahuja, Narendra

AU - Rosenfeld, Azriel

AU - Haralick, Robert M.

PY - 1980

Y1 - 1980

N2 - In segmenting an image by pixel classification, the sequence of gray levels of the pixel's neighbors can be used as a feature vector. This yields classifications at least as good as those obtained using other local properties (e.g., averages or values of difference operators) as features.

AB - In segmenting an image by pixel classification, the sequence of gray levels of the pixel's neighbors can be used as a feature vector. This yields classifications at least as good as those obtained using other local properties (e.g., averages or values of difference operators) as features.

KW - Image Segmentation

KW - Neighborhood operators

KW - Pixel classification

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U2 - 10.1016/0031-3203(80)90065-5

DO - 10.1016/0031-3203(80)90065-5

M3 - Article

AN - SCOPUS:0019229242

SN - 0031-3203

VL - 12

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JO - Pattern Recognition

JF - Pattern Recognition

IS - 4

ER -

Neighbor gray levels as features in pixel classification

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

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