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Author Rathi, Yogesh ♦ Michailovich, Oleg ♦ Malcolm, James ♦ Tannenbaum, Allen
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Intensity Moment ♦ Level Set ♦ Segment Low Contrast ♦ Simple Curve Flow Equation ♦ Complex Image ♦ Different Distribution ♦ Object Boundary ♦ Efficient Method ♦ Preliminary Result ♦ Bhattacharyya Distance ♦ Signed Distance Function
Description An efficient method for separating an object from the background in an image is presented. The segmenting curve, corresponding to the object boundary, is represented as the zero level set of a signed distance function. Most existing region based methods in the geometric active contour framework perform segmentation by maximizing the separation of intensity moments inside and outside the evolving contour. We generalize these methods by minimizing the Bhattacharyya distance so that it separates regions of different distributions. Preliminary results show that the proposed method can segment low contrast, complex images with a very simple curve flow equation.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Institution In Intl. Conf. Signal and Image Processing