منابع مشابه
Region-Based Segmentation: Fuzzy Connectedness, Graph Cut and Related Algorithms
In this chapter, we will review the current state of knowledge on regionbased digital image segmentation methods. More precisely, we will concentrate on the four families of such algorithms: (a) The leading theme here will be the framework of fuzzy connectedness (FC) methods. (b) We will also discuss in detail the family of graph cut (GC) methods and their relations to the FC family of algorith...
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We introduce an image segmentation algorithm, called GC(sum)(max), which combines, in novel manner, the strengths of two popular algorithms: Relative Fuzzy Connectedness (RFC) and (standard) Graph Cut (GC). We show, both theoretically and experimentally, that GC(sum)(max) preserves robustness of RFC with respect to the seed choice (thus, avoiding "shrinking problem" of GC), while keeping GC's s...
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The goal of this paper is a theoretical and experimental comparison of two popular image segmentation algorithms: fuzzy connectedness (FC) and graph cut (GC). On the theoretical side, our emphasis will be on describing a common framework in which both of these methods can be expressed. We will give a full analysis of the framework and describe precisely a place which each of the two methods occ...
متن کاملContents 11 Region - Based Segmentation : Fuzzy Connectedness , Graph Cut and Related Algorithms
In this chapter, we will review the current state of knowledge on regionbased digital image segmentation methods. More precisely, we will concentrate on the four families of such algorithms: (i) The leading theme here will be the framework of fuzzy connectedness (FC) methods. (ii) We will also discuss in detail the family of graph cut (GC) methods and their relations to the FC family of algorit...
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This article shows a deca-valued representation of neutrosophic information in which are defined the following features: truth, falsity, weak truth, weak falsity, ignorance, contradiction, saturation, neutrality, ambiguity and hesitation. Using these features, there are constructed computing formulas for entropy, neutro-entropy and anti-entropy.
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2016
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2016.2594485