Image segmentation plays a crucial role in effective understanding of digital images. Past
few decades saw hundreds of research contributions in this field. However, the research on …

Efficient segmentation of globally optimal surfaces representing object boundaries in
volumetric data sets is important and challenging in many medical image analysis …

The image foresting transform (IFT) is a graph-based approach to the design of image
processing operators based on connectivity. It naturally leads to correct and efficient …

We present a supervised classification method which represents each class by one or more
optimum‐path trees rooted at some key samples, called prototypes. The training samples …

Dura E Domingo J Ayala G Martí-Bonmatí L (2012) Evaluation of the registration of temporal
series of contrast-enhanced perfusion magnetic resonance 3D images of the liver Computer …

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Image segmentation-the process of defining objects in images-remains the most challenging
problem in image processing despite decades of research. Many general methodologies …

We recently introduced watershed cuts, a notion of watershed in edge-weighted graphs. In
this paper, our main contribution is a thinning paradigm from which we derive three …

The notion of fuzzy connectedness captures the idea of" hanging-togetherness" of image
elements in an object by assigning a strength of connectedness to every possible path …

We propose an approach for data clustering based on optimum‐path forest. The samples
are taken as nodes of a graph, whose arcs are defined by an adjacency relation. The nodes …