By Fábio J. Ayres, Rangaraj M. Rangayyan, J.E. Leo Desautels
The presence of orientated gains in photographs usually conveys vital information regarding the scene or the items contained; the research of orientated styles is a crucial activity within the basic framework of photograph knowing. As in lots of different purposes of desktop imaginative and prescient, the overall framework for the certainty of orientated good points in pictures will be divided into low- and high-level research. within the context of the examine of orientated positive aspects, low-level research contains the detection of orientated positive factors in photos; a degree of the neighborhood importance and orientation of orientated beneficial properties over the whole area of research within the photo is termed the orientation box. High-level research pertains to the invention of styles within the orientation box, often via associating the constitution perceived within the orientation box with a geometric version. This booklet offers an research of a number of very important equipment for the detection of orientated positive aspects in photographs, and a dialogue of the section portrait procedure for high-level research of orientation fields. to be able to illustrate the ideas built through the ebook, an program is gifted of the part portrait approach to computer-aided detection of architectural distortion in mammograms. desk of Contents: Detection of orientated gains in photographs / research of orientated styles utilizing part photographs / Optimization options / Detection of web sites of Architectural Distortion in Mammograms
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Additional info for Analysis of Oriented Texture with Applications to the Detection of Architectural (Synthesis Lectures on Biomedical Engineering)
As a consequence, the absolute angular error between the angle of a given line segment and the closest kernel angle in the filter bank will evenly span the range [0, 5) degrees. The same reasoning applies to the line segments oriented at angles in the half-closed angular interval [180, 360) because the arithmetic of orientation angles follows a congruence with modulo 180 degrees. The orientation field of the test image was obtained, for each level of noise, and for different values of the corresponding scale parameter with each filter.
5] in standard deviation was used to derive the measure of robustness. 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. 8 almost 100% of the line pixels (pixels belonging to the true line pattern in the test image) in the orientation field generated by these filters present an angular error less than 10 degrees. 2 ANALYSIS OF PERFORMANCE WITH MULTISCALE FEATURES The detection range of each filter, in terms of capturing features of varying width or scale, was analyzed with the following experiment.
Ayres and R. M. Rangayyan. “Characterization of architectural distortion in mammograms”. IEEE Engineering in Medicine and Biology Magazine, 24(1):59–67, January 2005. 4. 4 41 REMARKS This chapter presented the general methodology for the analysis of oriented texture using phase portraits, originally developed by Rao and Jain , as well as the application of the method to a set of test images and to a mammographic ROI displaying architectural distortion. A study on optimization techniques for the fitting of the phase portrait model to a given orientation field is presented in Chapter 3.
Categories: Biomedical Engineering