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Active Contours: A New Distribution Metric for Image Segmentation 1.0
File ID: 79045






Active Contours: A New Distribution Metric for Image Segmentation 1.0
Download Active Contours: A New Distribution Metric for Image Segmentation 1.0http://www.mathworks.comReport Error Link
License: Freeware
File Size: 1.6 MB
Downloads: 72
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Active Contours: A New Distribution Metric for Image Segmentation 1.0 Description
Description: How can we characterize an image, and does the same characterization yield the same result? In this work, we study one possible characterization, distribution metrics. That is, we assume the desired region of interest has a different probability distribution from its corresponding background. Using this, we present a new distribution metric for image segmentation that arises as a result in prediction theory. Forming a natural geodesic, our metric quantifies d-deDUdistanced-deDt for two density functionals as the standard deviation of the difference between logarithms of those distributions. Using level set methods, we incorporate an energy model based on the metric into the Geometric Active Contour framework. We also demonstrate the algorithm on several challenging medical images, which further ensure the viability of the metric in the context of image segmentation.

License: Freeware

Related: methods, Level, incorporate, energy, Based, Model, Distributions, Standard, functionals, deviation, Difference, logarithms, Geometric, Active, Images, ensure

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 1.6 MB

Downloads: 72



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