The cultivation of crops, conservation of plants, restoration of landscape, and management
of soil are the phases incorporated in agriculture and horticulture. During the cultivation and …

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 …

Superpixel segmentation consists of partitioning images into regions composed of similar
and connected pixels. Its methods have been widely used in many computer vision …

Mathematical Morphology allows for the analysis and processing of geometrical structures
using techniques based on the fields of set theory, lattice theory, topology, and random …

We introduce a nonlocal discrete regularization framework on weighted graphs of the
arbitrary topologies for image and manifold processing. The approach considers the …

In this work, we extend a common framework for graph-based image segmentation that
includes the graph cuts, random walker, and shortest path optimization algorithms. Viewing …

Image partitioning, or segmentation without semantics, is the task of decomposing an image
into distinct segments; or equivalently, the task of detecting closed contours in an image …

Image segmentation can be performed on raw radiometric data, but also on transformed
colour spaces, or, for high-resolution images, on textural features. We review several …

Abstract We introduce the French Land cover from Aerospace ImageRy (FLAIR), an
extensive dataset from the French National Institute of Geographical and Forest Information …

The binary partition tree (BPT) is a hierarchical region-based representation of an image in a
tree structure. The BPT allows users to explore the image at different segmentation scales …