An overview of LULU operators and discrete pulse transform for image analysis

Rahmat, R and Malik, A S and Faye, I and Kamel, N and Nisar, H (2013) An overview of LULU operators and discrete pulse transform for image analysis. [Citation Index Journal]

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Official URL: http://dx.doi.org/10.1179/1743131X11Y.0000000029

Abstract

This paper presents an overview of LULU operators and discrete pulse transform (DPT). Data extraction from signals and images is a popular area of research. Different methods are being used for data extraction such as different types of linear and nonlinear operators. LULU operator is one of the most important rank selector nonlinear filters used for data analysis which is widely being used for signal analysis, especially in impulse noise filtering. It is computationally more efficient and the behaviour of the operator is simple to describe. Based on the composition of different orders of LULU operators, DPT on multi-resolution is defined, which describes the sequences into pulses with different magnitudes. DPT allows a multi-resolution measure of roughness of images and sequences. It is a powerful technique for image analysis and can also be used for the estimation of standard deviation of a random distribution.

Item Type: Citation Index Journal
Impact Factor: 0.506
Uncontrolled Keywords: discrete pulse transform, impulse noise, object extraction
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 16 Dec 2013 23:48
Last Modified: 16 Dec 2013 23:48
URI: http://scholars.utp.edu.my/id/eprint/10975

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