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Blind Image Separation based on a Flexible Parametric Distribution Function

by Nouf Saeed Al Otaibi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 3
Year of Publication: 2017
Authors: Nouf Saeed Al Otaibi
10.5120/ijca2017915874

Nouf Saeed Al Otaibi . Blind Image Separation based on a Flexible Parametric Distribution Function. International Journal of Computer Applications. 179, 3 ( Dec 2017), 20-26. DOI=10.5120/ijca2017915874

@article{ 10.5120/ijca2017915874,
author = { Nouf Saeed Al Otaibi },
title = { Blind Image Separation based on a Flexible Parametric Distribution Function },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 3 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number3/28717-2017915874/ },
doi = { 10.5120/ijca2017915874 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:20.941753+05:30
%A Nouf Saeed Al Otaibi
%T Blind Image Separation based on a Flexible Parametric Distribution Function
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 3
%P 20-26
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The blind image separation has been widely investigated nowadays. As a result, many algorithms of feature extraction have been developed for direct application of such image structures. One example of this, the separation of mixed fingerprints found in a crime scene, in which a mixture of two or more fingerprints may be gathered, for identification, they must be separated. In this paper, we propose a new technique for multiple mixed images separation based on modified Weibull distribution. We use an efficient method based on genetic algorithm and maximum likelihood for estimating the parameters of such score functions. Also the accuracy of this proposed distribution is measured, and we compare the algorithmic performance using the efficient approach with some other previous distributions. The numerical results show that the proposed distribution is flexible and has efficient results.

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Index Terms

Computer Science
Information Sciences

Keywords

Source separation blind image separation FastICA Maximum likelihood Genetic algorithm Modified Weibull distribution.

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