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 Cham, Switzerland : Springer, ©2011

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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 Oriented texture Architectural distortion Mammography Breast cancer Gabor filters Phase portraits Line detectors Optimization techniques Computer-aided diagnosis Bibliography Includes bibliographical references (pages 127-144) and index Subject Image analysis -- Mathematics Signal processing -- Digital techniques. Image processing -- Digital techniques. Breast -- Radiography. Breast -- Cancer -- Diagnosis -- Data processing Radiography. Mammography -- methods Mammography Breast Neoplasms -- diagnostic imaging Radiographic Image Interpretation, Computer-Assisted -- methods Radiography Signal Processing, Computer-Assisted digital imaging. radiography. radiographs. HEALTH & FITNESS -- Women's Health. MEDICAL -- Reproductive Medicine & Technology. Radiography Breast -- Cancer -- Diagnosis -- Data processing Breast -- Radiography Image processing -- Digital techniques Signal processing -- Digital techniques Form Electronic book Author Rangayyan, Rangaraj M. Desautels, J. E. Leo. ISBN 9781608450305 1608450309 9783031016479 3031016475

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