Download PDF by Fábio J. Ayres, Rangaraj M. Rangayyan, J.E. Leo Desautels: Analysis of Oriented Texture with Applications to the

By Fábio J. Ayres, Rangaraj M. Rangayyan, J.E. Leo Desautels

ISBN-10: 1608450295

ISBN-13: 9781608450299

ISBN-10: 1608450309

ISBN-13: 9781608450305

The presence of orientated positive factors in pictures frequently conveys vital information regarding the scene or the items contained; the research of orientated styles is a crucial activity within the basic framework of picture realizing. As in lots of different functions of computing device imaginative and prescient, the overall framework for the knowledge of orientated good points in pictures may be divided into low- and high-level research. within the context of the learn of orientated positive aspects, low-level research contains the detection of orientated positive factors in photos; a degree of the neighborhood value and orientation of orientated positive factors over the complete sector of research within the photo is termed the orientation box. High-level research pertains to the invention of styles within the orientation box, frequently through associating the constitution perceived within the orientation box with a geometric version. This e-book offers an research of numerous very important tools for the detection of orientated positive aspects in pictures, and a dialogue of the section portrait process for high-level research of orientation fields. which will illustrate the techniques built during the publication, an software is gifted of the section portrait technique to computer-aided detection of architectural distortion in mammograms. desk of Contents: Detection of orientated beneficial properties in photos / research of orientated styles utilizing part images / Optimization suggestions / Detection of web sites of Architectural Distortion in Mammograms

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By Fábio J. Ayres, Rangaraj M. Rangayyan, J.E. Leo Desautels

ISBN-10: 1608450295

ISBN-13: 9781608450299

ISBN-10: 1608450309

ISBN-13: 9781608450305

The presence of orientated positive factors in pictures frequently conveys vital information regarding the scene or the items contained; the research of orientated styles is a crucial activity within the basic framework of picture realizing. As in lots of different functions of computing device imaginative and prescient, the overall framework for the knowledge of orientated good points in pictures may be divided into low- and high-level research. within the context of the learn of orientated positive aspects, low-level research contains the detection of orientated positive factors in photos; a degree of the neighborhood value and orientation of orientated positive factors over the complete sector of research within the photo is termed the orientation box. High-level research pertains to the invention of styles within the orientation box, frequently through associating the constitution perceived within the orientation box with a geometric version. This e-book offers an research of numerous very important tools for the detection of orientated positive aspects in pictures, and a dialogue of the section portrait process for high-level research of orientation fields. which will illustrate the techniques built during the publication, an software is gifted of the section portrait technique to computer-aided detection of architectural distortion in mammograms. desk of Contents: Detection of orientated beneficial properties in photos / research of orientated styles utilizing part images / Optimization suggestions / Detection of web sites of Architectural Distortion in Mammograms

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Read or Download Analysis of Oriented Texture with Applications to the Detection of Architectural (Synthesis Lectures on Biomedical Engineering) PDF

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Extra info for Analysis of Oriented Texture with Applications to the Detection of Architectural (Synthesis Lectures on Biomedical Engineering)

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4 0. 9: Topographic maps showing AU C for the oriented feature detectors studied, at various levels of noise and scale (std = standard deviation). (a) Steerable filter. (b) Quadrature steerable filter. (c) Real Gabor filter. (d) Complex Gabor filter. (e) Line operator. Reproduced with permission from F. J. Ayres and R. M. Rangayyan. “Design and performance analysis of oriented feature detectors”. Journal of Electronic Imaging, 16(2):12 pages, April 2007. article number 023007. 3. 1: Robustness measure, best scale, and detection range for each oriented feature detector.

DETECTION OF ORIENTED FEATURES IN IMAGES show the magnitude and angle components of the orientation field of the mammographic image. 14 agrees with the appearance of the oriented features present in the mammographic image. The organization of oriented features in mammograms may be used to detect abnormal conditions, as indicated in the two examples described below: • Architectural distortion is a subtle mammographic abnormality that is characterized by distortion of the normal structure of the breast, with no mass visible, and may appear as a set of spicules radiating from a central point, or as a focal retraction at the edge of the fibroglandular disk.

Potential improvements to the procedure include the incorporation of a regularization term to avoid numerical instabilities. 3 NONLINEAR LEAST-SQUARES In their work on the analysis of oriented texture using phase portraits, Rao and Jain [44] used a nonlinear least-squares algorithm for the minimization of the error measure. The nonlinear least-squares algorithm is a local-minimum search procedure where the nonlinear function to be minimized is formed by the sum of squared functions. A general formulation of the nonlinear least-squares procedure is as follows.

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Analysis of Oriented Texture with Applications to the Detection of Architectural (Synthesis Lectures on Biomedical Engineering) by Fábio J. Ayres, Rangaraj M. Rangayyan, J.E. Leo Desautels


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