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The investigation of uncertainty is of major importance in risk-critical applications, such as
medical image segmentation. Belief function theory, a formal framework for uncertainty …

Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …

A novel method is proposed for performing multilabel, interactive image segmentation.
Given a small number of pixels with user-defined (or predefined) labels, one can analytically …

In this paper, we examine the main advances registered in the last ten years in Pattern
Recognition methodologies based on graph matching and related techniques, analyzing …

Fine-grained semantic segmentation results are typically difficult to obtain for subdecimeter
aerial imagery segmentation as a result of complex remote sensing content and optical …

We present a novel image superpixel segmentation approach using the proposed lazy
random walk (LRW) algorithm in this paper. Our method begins with initializing the seed …

The field of discrete calculus, also known as" discrete exterior calculus", focuses on finding a
proper set of definitions and differential operators that make it possible to operate the …

A novel sub-Markov random walk (subRW) algorithm with label prior is proposed for seeded
image segmentation, which can be interpreted as a traditional random walker on a graph …

In recent years, segmentation with graph cuts is increasingly used for a variety of
applications, such as photo/video editing, medical image processing, etc. One of the most …