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Author Ayres, Fábio José, 1975-

Title Analysis of oriented texture with applications to the detection of architectural distortion in mammograms / Fábio J. Ayres, Rangaraj M. Rangayyan, and J.E. Leo Desautels
Published [San Rafael, Calif.] : Morgan & Claypool Publishers, [2011]
Online access available from:
Synthesis Digital Library    View Resource Record  


Description 1 online resource (xi, 150 pages) : illustrations
Series Synthesis lectures on biomedical engineering, 1930-0336 ; #38
Synthesis lectures on biomedical engineering ; #38
Contents 1. Detection of oriented features in images -- Oriented features in images -- Directionally sensitive filters -- Steerable filters -- Gabor filters -- Line operator -- Frequency-domain analysis -- Performance analysis of the oriented feature detectors -- Performance in terms of detection and angular accuracy -- Analysis of performance with multiscale features -- Computational time -- Discussion -- Robustness to noise and scale -- Angular accuracy -- Computational speed -- Application of Gabor filters to the detection of curvilinear structures in mammograms -- Remarks
Summary The presence of oriented features in images often conveys important information about the scene or the objects contained; the analysis of oriented patterns is an important task in the general framework of image understanding. As in many other applications of computer vision, the general framework for the understanding of oriented features in images can be divided into low- and high-level analysis. In the context of the study of oriented features, low-level analysis includes the detection of oriented features in images; a measure of the local magnitude and orientation of oriented features over the entire region of analysis in the image is called the orientation field. High-level analysis relates to the discovery of patterns in the orientation field, usually by associating the structure perceived in the orientation field with a geometrical model. This book presents an analysis of several important methods for the detection of oriented features in images, and a discussion of the phase portrait method for high-level analysis of orientation fields. In order to illustrate the concepts developed throughout the book, an application is presented of the phase portrait method to computer-aided detection of architectural distortion in mammograms
Analysis Architectural distortion
Breast cancer
Computer-aided diagnosis
Gabor filters
Line detectors
Optimization techniques
Oriented texture
Phase portraits
Bibliography Includes bibliographical references (pages 127-144) and index
Subject Breast Neoplasms.
Breast -- Cancer -- Diagnosis -- Data processing.
Breast -- Radiography.
Image analysis -- Mathematics.
Image processing -- Digital techniques.
Signal processing -- Digital techniques.
Form Electronic book
Author Desautels, J. E. Leo.
Rangayyan, Rangaraj M.
ISBN 1608450309 (electronic bk.)
9781608450305 (electronic bk.)