Morphological Filtering and Structural Coding Analysis of an Image

Visual Pattern Image Coding by a Morphological Approach (RESEARCH NOTE)

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...

Image sharpening by morphological filtering

In this paper we introduce a class of morphological operators with applications to sharpening digitized grey valued images. We introduce t.he underlying partial differential equation (PDE) that governs this class of operators. For discrete implementations of the operator class! we show that instances utilizing a parabolic structuring function, have special properties that lead to an efficient i...

Image Filtering Using Morphological Amoebas

This article presents the use of anisotropic dynamic structuring elements, or amoebas, in order to build content-aware noise reduction filters. The amoeba is the ball defined by a special geodesic distance computed for each pixel, and can be used as a kernel for many kinds of filters and morphological operators.

Morphological Filtering for Image Enhancement and Detection

an infinite planar array of rectangular microstrip patch antenna analysis

the methods which are used to analyze microstrip antennas, are divited into three categories: empirical methods, semi-empirical methods and full-wave analysis. empirical and semi-empirical methods are generally based on some fundamental simplifying assumptions about quality of surface current distribution and substrate thickness. thses simplificatioms cause low accuracy in field evaluation. ful...