One of the main image representations in Mathematical Morphology is the 3D Shape Decomposition Representation, useful for Image Compression and Representation, and Pattern Recognition. The 3D Morphological Shape Decomposition representation can be generalized a number of times, to extend the scope of its algebraic characteristics as much as possible. With these generalizations, the Morphologica...

One of the main image representations in Mathematical Morphology is the 3D Shape Decomposition Representation, useful for Image Compression, and Pattern Recognition. The 3D Morphological Shape Decomposition representation can be generalized a number of times, to extend the scope of its algebraic characteristics as much as possible. With these generalizations, the Morphological Shape Decompositi...

One of the main image representations in Mathematical Morphology is the 3D Shape Decomposition Representation, useful for Image Compression and Representation, and Pattern Recognition. The 3D Morphological Shape Decomposition representation can be generalized a number of times, to extend the scope of its algebraic characteristics as much as possible. With these generalizations, the Morphologica...

This article reports the results of an experiment on production of his/her in English as a second language (L2) by proficient native speakers of Italian, Spanish, and Dutch. In Dutch and English, 3rd person singular possessive pronouns agree in gender with their antecedents, in Italian and Spanish possessives in general agree with the noun they accompany (possessum). However, while in Italian t...

Shape is one of the most important property that is perceived about objects. It allows predicting more facts about an object when compared with other features. Thus recognizing shape is crucial for object recognition. This paper proposes an optimal morphological shape decomposition scheme that represents the object accurately and efficiently. The high level of redundancy in representation is th...

A multiresolution image representation is presented in which iterative morphological filters of many scales hut identical shape serve as basis functions. Structural pattern decomposition is achieved by subtracting successive layers in the multiresolution representation. The representation differs from established techniques in that the code elements have a well defined location and size. The re...

In this paper a decomposition technique suitable for any grey-scale soft morphological structuring element is presented. A hardware structure implementing this technique is also presented.

The structure of lexical entries and the status of lexical decomposition remain controversial. In the psycholinguistic literature, one aspect of this debate concerns the psychological reality of the morphological complexity difference between compound words (teacup) and single words (crescent). The present study investigates morphological decomposition in compound words using visual lexical dec...

The decomposition of a binary morphological structuring element is a well-known problem that has often been addresses in the literature. This work present a new approach based on an Evolution Program: using an iterative stochastic technique,it allows to determinethe optimal decomposition of an arbitrarily shaped binary morphological structuring element into the shortest chain of elementary fact...