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Reseach Article

Ellipsoidal Features Extraction for Planetary Image Registration

Published on April 2012 by Zambare Archana Bharat
Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
Foundation of Computer Science USA
ETCSIT - Number 3
April 2012
Authors: Zambare Archana Bharat
2da55820-cb3f-4e62-a9e3-e3ac6a762fcc

Zambare Archana Bharat . Ellipsoidal Features Extraction for Planetary Image Registration. Emerging Trends in Computer Science and Information Technology (ETCSIT2012). ETCSIT, 3 (April 2012), 33-37.

@article{
author = { Zambare Archana Bharat },
title = { Ellipsoidal Features Extraction for Planetary Image Registration },
journal = { Emerging Trends in Computer Science and Information Technology (ETCSIT2012) },
issue_date = { April 2012 },
volume = { ETCSIT },
number = { 3 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 33-37 },
numpages = 5,
url = { /proceedings/etcsit/number3/5981-1024/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%A Zambare Archana Bharat
%T Ellipsoidal Features Extraction for Planetary Image Registration
%J Emerging Trends in Computer Science and Information Technology (ETCSIT2012)
%@ 0975-8887
%V ETCSIT
%N 3
%P 33-37
%D 2012
%I International Journal of Computer Applications
Abstract

Using greyscale texture features recently become a new trend in supervised machine learning crater detection. Need to be analysed image data preferably by automatic technique as the data is in huge amount. Automatic feature extraction method is proposed and utilised for earth remote sensing images. These are not always applicable to planetary data which is having low contrast and uneven illumination features. Proposed a new method which is unsupervised for different ellipsoidal feature extraction for planetary image registration. Approach is based on combination of various techniques including Hough Transform and watershed segmentation technique. This is mainly applicable for geometrically compact shapes rocks, craters, and other geological features

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Index Terms

Computer Science
Information Sciences

Keywords

Hough Transform Watershed Segmentation Feature Extraction Crater Detection.