Connected operators are morphological tools that have the property of filtering images
without creating new contours and without moving the contours that are preserved. Those …

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This paper presents a robust text detection approach based on color-enhanced contrasting
extremal region (CER) and neural networks. Given a color natural scene image, six …

To compute the morphological self-dual representation of images, namely the tree of
shapes, the state-of-the-art algorithms do not have a satisfactory time complexity …

Discriminating value crops from weeds is an important task in precision agriculture. In this
paper, we propose a novel image processing pipeline based on attribute morphology for …

This paper introduces a topological approach to local invariant feature detection motivated
by Morse theory. We use the critical points of the graph of the intensity image, revealing …

Connected operators provide well-established solutions for digital image processing,
typically in conjunction with hierarchical schemes. In graph-based frameworks, such …

With the continuous growth of sensor performances, image analysis and processing
algorithms have to cope with larger and larger data volumes. Besides, the informative …

Max-trees, or component trees, are graph structures that represent the connected
components of an image in a hierarchical way. Nowadays, many application fields rely on …

In recent papers, a new notion of component-graph was introduced. It extends the classical
notion of component-tree initially proposed in mathematical morphology to model the …