نتایج جستجو برای: Morphological filtering

تعداد نتایج: 191917  

Journal: :SIAM Journal on Imaging Sciences 2013

Journal: :Image and Vision Computing 2007

Journal: :IOP Conference Series: Materials Science and Engineering 2021

Journal: :Pattern Recognition Letters 2008

Journal: :Circuits Systems and Signal Processing 1992

Journal: :journal of medical signals and sensors 0
fatemeh shahsavari alavijeh homayoun mahdavi-nasab

chest radiography is a common diagnostic imaging test, which contains an enormous amount of information about a patient. however,its interpretation is highly challenging. the accuracy of the diagnostic process is greatly influenced by image processing algorithms;hence enhancement of the images is indispensable in order to improve visibility of the details. this paper aims at improving radiograp...

Journal: :iranian journal of fuzzy systems 2006
amir daneshgar amir hashemi

2009
José Crespo

In the last fifty years, approximately, advances in computers and the availability of images in digital form have made it possible to process and to analyze them in automatic (or semi-automatic) ways. Alongside with general signal processing, the discipline of image processing has acquired a great importance for practical applications as well as for theoretical investigations. Some general imag...

Journal: :Computer Vision and Image Understanding 2013
Jean Cousty Laurent Najman Fabio Dias Jean Paul Frédéric Serra

We study some basic morphological operators acting on the lattice of all subgraphs of an arbitrary (unweighted) graph G. To this end, we consider two dual adjunctions between the edge set and the vertex set of G. This allows us (i) to recover the classical notion of a dilation/erosion of a subset of the vertices of G and (ii) to extend it to subgraphs of G. Afterward, we propose several new ope...

Journal: :SIAM J. Imaging Sciences 2013
Jesús Angulo

A current challenging topic in mathematical morphology is the construction of locally adaptive operators; i.e., structuring functions are dependent on the input image itself at each position. Development of spatially-variant filtering is well established in the theory and practice of Gaussian filtering. The aim of the first part of the paper is to study how to generalize these convolutionbased ...

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