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Interactive Segmentation TechniquesPerformance Evaluation

Interactive Segmentation Techniques: Performance Evaluation [Interactive segmentation methods are developed to solve the image segmentation problem in real-world applications. It is desirable that, with user interactions, segmentation techniques can segment out arbitrary objects of interest accurately. The procedure should be intelligent and easily controllable by users. Nevertheless, there is a gap between this goal and what today’s algorithms can offer. In this chapter, we evaluate the performance of several state-of-the-art interactive segmentation methods with a set of “challenging” images.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Interactive Segmentation TechniquesPerformance Evaluation

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Publisher
Springer Singapore
Copyright
© The Author(s) 2014
ISBN
978-981-4451-59-8
Pages
63 –73
DOI
10.1007/978-981-4451-60-4_4
Publisher site
See Chapter on Publisher Site

Abstract

[Interactive segmentation methods are developed to solve the image segmentation problem in real-world applications. It is desirable that, with user interactions, segmentation techniques can segment out arbitrary objects of interest accurately. The procedure should be intelligent and easily controllable by users. Nevertheless, there is a gap between this goal and what today’s algorithms can offer. In this chapter, we evaluate the performance of several state-of-the-art interactive segmentation methods with a set of “challenging” images.]

Published: Sep 1, 2013

Keywords: Interactive graph-cut; Random walks with restart; Convex active contour; Maximal similarity-based region merging; Matching attributed relational graph

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