Filtering methods based on morphological operations have been developed in some previous studies. The biggest challenge for these methods is how to keep the terrain features unchanged while using large window sizes for the morphological opening. Zhang et al. (2003) tried to achieve this goal, but their method required the assumption that the slope is constant. This paper presents a new method t...

This issue presents novel contributions and introduces the state-of-art in filtering and segmentation methods using mathematical morphology. Historically, mathematical morphology developed a theoretical framework for non-linear image analysis, which from its inception led to important theoretical and practical results. Due to its algebraic foundation and geometrical intuition, the theory of mat...

In this paper, a comparison between three different filters in the 3D scanning processes by Fourier Transform two-dimensional. The implementation and comparison about the filter by threshold, morphological filtering like rectangle and elliptic, the representation about the filters are in a binary mask and it is multiplied by the spectrum of Fourier Transform two-dimensional, with this process t...

Edge preserving smoothing and image simplification is of fundamental importance in a variety of remote sensing applications during feature extraction and object detection procedures. The construction of a pre-processing filtering tool for edge detection and segmentation tasks is still an open matter. Towards this end, this paper brings together two advanced nonlinear scale space representations...

This paper presents a procedure developed to extract quantitative motion information from video recordings of neonatal seizures in the form of temporal motion strength signals. Temporal motion strength signals are obtained from a sequence of video frames by measuring the displacement areas of the infants’ moving body part(s) from frame to frame of the video sequence. The proposed motion segment...

This paper presents an architecture for the efficient and high-speed realization of morphological filters. Since morphological filtering can be described in terms of erosion and dilation, two basic building units performing these functions are required for the realization of any morphological filter. Dual architectures for erosion and dilation are proposed and their operations are described. Th...

The study of inflammatory disease hinges upon the behavior and movement of leukocytes and their interaction with the endothelium. We put forth a method for tracking leukocytes in vivo, whereas tracking has been demonstrated previously only for in vitro experiments. The tracker is based on the enhancing capability of morphological anisotropic diffusion, a partial differential equation model for ...

A new morphological operator, namely RORPO (Ranking Orientation Responses of Path Operators), was recently introduced as a semi-global, morphological alternative to the local, Hessian-based operators for thin structure filtering in 3D images. In this context, a previous study has already provided experimental proof of its relevance by comparison to such differential operators. In this article, ...

The paper presents construction of Derywator – a language tool for the recognition of Polish derivational relations. It was built on the basis of machine learning in a way following the bootstrapping approach: a limited set of derivational pairs described manually by linguists in plWordNet is used to train Derivator. The tool is intended to be applied in semi-automated expansion of plWordNet wi...