W e describe and discuss the results of ongoing experim ents that use morphological analysis in the context of Example-Based M achine Translation. The goal is to increase the coverage of our training examples so as to capture things that are not directly seen in the training text. This is done through a two stage process of generalization and filtering.

The aim of this study is to detect masses in mammograms through pipelining sequences of visualization operators. Such sequences act as morphological filtering operators for identifying objects of interest. This is done using series of rendering operators including edge detection, smoothing, filling small holes, coloring various densities, joining broken boundaries and eliminating small projecti...

Using computer vision library OpenCV, a method of automatic recognition high points of scraped workpiece surface is presented. The image is dealt with by background subtraction, Median filtering, morphological processing, image negates, contour finding and drawing contours. In order to accurately and efficiently recognize the high-point contours and mark its center positions, mathematical morph...

A method for the optimisation of 3-D grey-scale soft morphological filters using genetic algorithms is described, which has applications in the restoration of archive film material. This method extends an existing 2-D (spatial) to the 3-D (spatio-temporal) domain, thus allows the filtering to make use of the temporal nature of the corruption and hence improve its performance.

Edge detection finds its use in numerous applications such as feature extraction, diagnosis in medical imaging and computer vision. Number of techniques are being used for filtering out the less relevant information from the images while preserving the basic structural properties. In this paper a comparative study of Sobel, Laplacian of Gaussian, Canny, Gabor Wavelets, Structured Forests and Mo...

An efficient image sampling structure conversion using mathematical morphology is described in this paper. The conversion between quincunx and rectangular structures evidently will play an important role in television image processing and HDTV applications. We propose to use morphological filters in this conversion scheme instead of the conventional linear filters. The advantages of the morphol...

Morphological reconstruction is an important image operator from mathematical morphology. It is very often used for filtering, segmentation, and feature extraction. However, its computation can be very time-consuming for some input data. In this paper we review several efficient algorithms to compute the reconstruction, and compare their performance on real 3D images of large sizes. Furthermore...

Electron micrographs of negatively stained preparations of cell walls of Bacillus polymyxa have been investigated by optical diffraction and optical filtering techniques. Images of single layers of the cell wall, from which the ' noise' has been filtered optically, show hollow, squareshaped morphological units arranged on a square lattice of side 100 A. Single-layer images showing the same patt...

This paper presents how to build a reliable morphological knowledge base, by mean of an automatic generation, the filtering of the obtained words and their validation. The generated base concerns verbs and their agents. The validation method relies on different resources and corpora in order to verify that a verb and a noun belong to the same family, and are related by an agent link. The method...

Morphological semigroups for functions on length spaces have recently studied [2], whose basic ingredients are the convolution in the (max,+)-algebra (or supremal convolution), the metric distance and a convex shape function. Links with Hamilton–Jacobi PDE on length spaces appears also naturally. These semigroups lead to powerful scale-space properties for multiscale filtering, regularization a...