New range-based neighbourhood operator for extracting edge and texture information from mammograms for subsequent image segmentation and analysis

R. Chandrasekhar; Y. Attikiouzel

doi:10.1049/ip-smt:20000853

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New range-based neighbourhood operator for extracting edge and texture information from mammograms for subsequent image segmentation and analysis

Journal article

Open access

Peer reviewed

New range-based neighbourhood operator for extracting edge and texture information from mammograms for subsequent image segmentation and analysis

R. Chandrasekhar and Y. Attikiouzel

IEE Proceedings - Science, Measurement and Technology, Vol.147(6), pp.408-413

2000

DOI: https://doi.org/10.1049/ip-smt:20000853

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Abstract

A new, spatially isotropic, range-based, neighbourhood operator is described, and its use for extracting edge and texture information from mammograms is illustrated. It is an extension of an operator, first introduced by J.C. Russ (1990), and founded on the work of H.E. Hurst (1965). An octagonal neighbourhood is defined, centred on each pixel in an image, and the difference between the maximum and minimum pixel values in each set of pixels at a given Euclidean distance from the centre pixel is computed to be the range. The logarithm of the range is plotted against the logarithm of the distance, and a straight line fitted to the data. The y-axis intercept c and the square of the correlation coefficient, η2, associated with the position of the centre pixel. Preliminary experiments suggest that c is edge-sensitive and could be useful in detecting weak edges, with good noise immunity, while η2 is a promising texture measure that may be used to detect the edge of the pectoral muscle, define the boundary of the mammographic parenchyma, and in conjunction with other features, possibly detect circumscribed lesions

Details

Title: New range-based neighbourhood operator for extracting edge and texture information from mammograms for subsequent image segmentation and analysis
Authors/Creators: R. Chandrasekhar (Author/Creator) - The University of Western Australia
Y. Attikiouzel (Author/Creator) - Department of Physics, Mathematics and Informatics
Publication Details: IEE Proceedings - Science, Measurement and Technology, Vol.147(6), pp.408-413
Publisher: Institute of Electrical Engineers
Identifiers: 991005545229407891
Copyright: © 2000 IEEE.
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Journal article

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Citation topics: 1 Clinical & Life Sciences; 1.119 Breast Cancer Scanning; 1.119.583 Breast Cancer Imaging
Web Of Science research areas: Engineering, Electrical & Electronic
ESI research areas: Engineering