Plant plays an important role in agricultural, industrial, medicine, environmental and
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …

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 …

Advances in data storage and image acquisition technologies have enabled the creation of
large image datasets. In this scenario, it is necessary to develop appropriate information …

The effectiveness of content-based image retrieval (CBIR) systems can be improved by
combining image features or by weighting image similarities, as computed from multiple …

This paper introduces a novel methodology to shape boundary characterization, where a
shape is modeled into a small-world complex network. It uses degree and joint degree …

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 …

Superpixel segmentation has emerged as an important research problem in the areas of
image processing and computer vision. In this paper, we propose a framework, namely …

Human intestinal parasites constitute a problem in most tropical countries, causing death or
physical and mental disorders. Their diagnosis usually relies on the visual analysis of …

The absence of object information very often asks for considerable human assistance in
medical image segmentation. Many interactive two-dimensional and three-dimensional (3 …