Convolutional neural networks (CNNs) have become quite popular for solving many
different tasks in remote sensing data processing. The convolution is a linear operation …

In this paper, we propose a novel approach toward the development of a perceptual color
space, FHSI, which stands for “Fuzzy HSI,” because it is based on the fuzzification of the well …

Color image enhancement has been widely applied in a variety of applications from different
scientific areas. On the other hand, mathematical morphology is a theory that deals with …

This paper introduces a novel approach toward the development of a perceptual color
space. It is based on fuzzification of a well-known HSI color model. Specifically, we …

Mathematical morphology, based on lattice theory, is a nonlinear technique. In color image
processing, it is necessary to determine a color space and an ordering to obtain a lattice …

Nuclei segmentation is the initial process in the histopathological image analysis. This
process plays a vital role in cell counting. The Ki67 is a nuclear that was widely used among …

Mathematical morphology has traditionally been grounded in lattice theory. For non-scalar
data lattices often prove too restrictive, however. In this paper we present a more general …

Morphological image processing is well known as an efficient methodology for image
processing and computer vision. With the wide use of color in many areas, the interest on …

Mathematical morphology has traditionally been grounded in lattice theory. For non-scalar
data lattices often prove too restrictive, however. In this paper we present a more general …

An obstacle in old document interpretation comes from the lack of image quality. Old
documents frequently appear with digitization errors, uneven background, bleed-through …