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Reseach Article

Multistage Sub-Image Filtering Technique with Improved De-noising Feature for Road Detection in Disaster Management

by Md. Abdul Alim Sheikh, Sumitra Mukhopadhyay
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 121 - Number 22
Year of Publication: 2015
Authors: Md. Abdul Alim Sheikh, Sumitra Mukhopadhyay
10.5120/21829-5086

Md. Abdul Alim Sheikh, Sumitra Mukhopadhyay . Multistage Sub-Image Filtering Technique with Improved De-noising Feature for Road Detection in Disaster Management. International Journal of Computer Applications. 121, 22 ( July 2015), 1-8. DOI=10.5120/21829-5086

@article{ 10.5120/21829-5086,
author = { Md. Abdul Alim Sheikh, Sumitra Mukhopadhyay },
title = { Multistage Sub-Image Filtering Technique with Improved De-noising Feature for Road Detection in Disaster Management },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 121 },
number = { 22 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume121/number22/21829-5086/ },
doi = { 10.5120/21829-5086 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:05.849533+05:30
%A Md. Abdul Alim Sheikh
%A Sumitra Mukhopadhyay
%T Multistage Sub-Image Filtering Technique with Improved De-noising Feature for Road Detection in Disaster Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 121
%N 22
%P 1-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Due to rapid urban development, the Geographic Information System (GIS) database needs to be updated with timely and accurate road network information. This paper presents an approach to design a module for image pre-treatment of roads (or roads seeds) and help to decide the most suitable emergency transportation route in disastrous area. Also, in such situation, the quality of the image may degrade during capture or transmission as the entire process becomes prone to noise and instability. Therefore for any kind of information processing or decision making image pre-treatment is a significant part. This paper presents a Multistage Hybrid Median filtering (MHMF) technique to significantly improve noise reduction performance of satellite/aerial road images while preserving the integrity of edge and detail information. Further, the images are divided into subparts and they are processed using the proposed MHMF. Then the two filtered sub-images are combined and we can improve overall performance even further. To support the above claim, a case study has been carried out on two recent natural disasters happened in India along with other benchmark problems and the studies show the effectiveness of the proposed system in real environment.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Preprocessing Sub-image Median Filter Road Detection GIS Objective Image Quality Metrics Signal to Noise Ratio Image Quality Index.