Active Contours: A New Distribution Metric for Image Segmentation (Scripts) Publisher's description
from Romeil Sandhu
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
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 вЂњdistanceвЂќ 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.
System Requirements:MATLAB 7.9 (2009b)
Program Release Status: New Release
Program Install Support: Install and Uninstall