This paper presents an improvement of the Visual Pattern image coding (VPIC) scheme presented by Chen and Bovik in [2] and [3]. The patterns in this improved scheme are defined by morphological operations and classified by absolute error minimization. The improved scheme identifies more uniform blocks and reduces the noise effect. Therefore, it improves the compression ratio and image quality i...

Abstract Phenomena traditionally thought of as morphological can be accounted for in terms syntactic operations and principles, hence bringing forth questions that traditional morphology fails to ask (for instance, concerning the licensing empty morphemes). The language faculty contains no specific component, nor any post-syntactic operations.

The license plate recognition system is part of the intelligent transportation system. In the intelligent transportation system, the vehicle image is used as the system input. The first step is to improve the image, after the edge detection, a series of morphological operations are performed to identify the plaque. The main purpose of this research was to increase the importance of plate re...

Mathematical morphology is a non-linear technique for spatial image analysis that has found many applications in different areas. This chapter reports on the extension of morphological image processing to hyperspectral imagery. In order to define extended morphological operations, a physically meaningful distance-based vector organization scheme is introduced, and fundamental vector operations ...

In this paper we have shown how a common multiscale morphological paradigm can be used to solve various image processing problems. We have implemented the schemes by using morphological tower which is based on multiscale operations satisfying causality and edge localization properties. The efficacy of the technique is illustrated for noise smoothing, contrast enhancement and multimodal image fu...

The main task of traffic monitoring applications is to identify (and track) moving targets. Thresholding an image resulting from a background difference operation is a common way to detect moving pixels and represents the starting point for all of the subsequent operations. Therefore, a wrong choice for the threshold could afflict final results. The morphological operations utilized within most...

Morphological filters, regarded as the complement of mean-line based filters, are useful in the analysis of surface texture and the prediction of functional performance. The paper first recalls two existing algorithms, the naive algorithm and the motif combination algorithm, originally developed for the traditional envelope filter. With minor extension, they could be used to compute morphologic...

Morphological and linear scale spaces are well-established instruments in image analysis. They display interesting analogies which make a deeper insight into their mutual relation desirable. A contribution to the understanding of this relation is presented here. We embed morphological dilation and erosion scale spaces with paraboloid structure functions into families of scale spaces which are f...

This paper describes some important modifications to the Celex morphological database in the context of the FLaVoR project. FLaVoR aims to develop a novel modular framework for speech recognition, enabling the integration of complex linguistic knowledge sources, such as a morphological model. Morphology is a fairly unexploited linguistic information source speech recognizers could benefit from....

Morphological operations based on primitives such as dilation and erosion are slow to compute in practice especially for large structuring elements. For direct implementation of these primitives, the computing time grows exponentially with the size of the structuring element used. The latter renders these implementations impractical for large structuring elements due to a rapid increase in comp...