Comparative image filtering using monotonic morphological operators

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.

Image Augmentation Using Morphological Operators: A Review

The aim of image Augmentation is to improve the interpretability or perception of information in images for human viewers, or to provide `better' input for other automated image processing techniques. The aim is to improve the visual appearance of an image, or to provide a “better transform representation for future automated image processing”. This paper is about a review of histogram techniqu...

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...

Morphological Filtering for Image Enhancement and Detection

Iterative design of morphological binary image operators

Junior Barrera Departamento de Ciência da Computação Instituto de Matemática e Estatı́stica— Universidade de São Paulo Rua do Matão, 1010 05508-900 São Paulo, Brazil E-mail: [email protected] Abstract. Iterating (composing) a sequence of window operators results in an operator defined over the window determined by the dilation of the component windows. Although a statistically designed iterative ope...