By Fábio J. Ayres, Rangaraj M. Rangayyan, J.E. Leo Desautels
The presence of orientated gains in photographs usually conveys very important information regarding the scene or the gadgets contained; the research of orientated styles is a crucial job within the normal framework of picture figuring out. As in lots of different functions of computing device imaginative and prescient, the final framework for the certainty of orientated beneficial properties in pictures could be divided into low- and high-level research. within the context of the research of orientated positive aspects, low-level research contains the detection of orientated good points in pictures; a degree of the neighborhood significance and orientation of orientated good points over the full area of research within the snapshot is named the orientation box. High-level research pertains to the invention of styles within the orientation box, often by way of associating the constitution perceived within the orientation box with a geometric version. This e-book offers an research of numerous very important equipment for the detection of orientated good points in photographs, and a dialogue of the part portrait process for high-level research of orientation fields. on the way to illustrate the options constructed in the course of the e-book, an software is gifted of the part portrait way to computer-aided detection of architectural distortion in mammograms. desk of Contents: Detection of orientated beneficial properties in photos / research of orientated styles utilizing section graphics / Optimization innovations / Detection of websites of Architectural Distortion in Mammograms
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Extra resources for Analysis of Oriented Texture with Applications to the Detection of Architectural (Synthesis Lectures on Biomedical Engineering)
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.
Initialize the phase portrait maps to zero. 2. Move a sliding analysis window throughout the orientation field. 1 to find the optimal parameters Aopt and bopt that best describe the orientation field under the analysis window. (b) From Aopt and bopt , determine the type of phase portrait and the fixed point location associated with the orientation field under the analysis window. (c) Select the phase portrait map corresponding to the phase portrait type determined above. This procedure will be referred to as vote casting.
The number of particles was chosen empirically as 500, and the number of iterations as 40.
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