In the development of digital multimedia, the importance and impact of image processing
and mathematical morphology are well documented in areas ranging from automated vision …

Ghost imaging (GI) is an unconventional imaging method that reconstructs the object
information via light-intensity correlation measurements. However, at present, the field of …

This paper proposes a new nonlinear classifier based on a generalized Choquet integral
with signed fuzzy measures to enhance the classification accuracy and power by capturing …

In this paper, a new concept of level-dependent Sugeno integral is introduced, and it is used
to represent comonotone maxitive aggregation functions acting on a complete scale K. The …

This paper proposes a method of effectively segmenting text areas that exist in images by
using the texture features of various types of input images obtained in social multimedia …

Bio-inspired and non-conventional vision systems are highly researched topics. Among
them, omnidirectional vision systems have demonstrated their ability to significantly improve …

Due to the fact that the flood data series of small drainage basins is relatively short, available
data are often not sufficient for flood risk analysis. This presents the problem of risk analysis …

The carrying capacity of water resources is defined as the maximum volume of water
suitable for supporting human activity in certain stages of social development that can be …

Catadioptric sensors offer abilities unexploited so far. This is especially true for face
detection, and more generally, object detection. This paper presents our results of a direct …

In this paper, we present an efficient approach to detect edges in omnidirectional images.
The main problem with such images, is that resolution is very high in the periphery and poor …