Semantic segmentation methods have advanced significantly. Still, their robustness to real-
world perturbations and object types not seen during training remains a challenge …

Nowadays, the representation and the treatment of color images are still open problems.
Mathematical morphology is the natural area for a rigorous formulation of many problems in …

In this paper, some morphological transformations are used to detect the unevenly
illuminated background of text images characterized by poor lighting, and to acquire …

It is difficult to extend a grayscale morphological approach to color images because total
vector ordering is required for color pixels. To address this issue, we developed a kind of …

Texture characterization is very useful for automatic analysis of object surface images for a
plethora of applications in medicine, agriculture, industry or remote sensing. Various texture …

In general, a theoretical Computerized Tomography (CT) imaging problem can be
formulated as a system of linear equations. The discrete inverse problem of reconstructing …

This paper presents digital image processing and its representation using binary image;
grayscale, color images with the help of additive color mixing, subtractive color mixing, and …

Mankind's best conceivable worldview is at most a partial picture of the real world, a picture,
a representation centered on man. We inevitably see the universe from a human point of …

Optical multiplexing technologies, by utilizing various dimensions of light, can effectively
expand the information capacity and density for holography but may also lead to …

Recent developments in hyperspectral sensors allow us to obtain high spectral and spatial
resolutions that are close to the optical and physical structures of acquired surfaces …