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Feature Detection of an Object by Image Fusion

by Umesh C. Pati, Pranab K. Dutta, Alok Barua
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 17
Year of Publication: 2010
Authors: Umesh C. Pati, Pranab K. Dutta, Alok Barua
10.5120/362-549

Umesh C. Pati, Pranab K. Dutta, Alok Barua . Feature Detection of an Object by Image Fusion. International Journal of Computer Applications. 1, 17 ( February 2010), 50-57. DOI=10.5120/362-549

@article{ 10.5120/362-549,
author = { Umesh C. Pati, Pranab K. Dutta, Alok Barua },
title = { Feature Detection of an Object by Image Fusion },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 17 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 50-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number17/362-549/ },
doi = { 10.5120/362-549 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:42:57.139500+05:30
%A Umesh C. Pati
%A Pranab K. Dutta
%A Alok Barua
%T Feature Detection of an Object by Image Fusion
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 17
%P 50-57
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose a novel method for feature detection of an object by fusion of range and intensity images. For this purpose, we have developed a data acquisition system with a laser source and camera interfaced with Silicon Graphics machine. 3-D mesh representation of the surface of the object is obtained from the acquired range images. Extraction of structural features from the range images has been performed by two methods i.e. coordinate thresholding technique and Laplacian of Gaussian (LoG) edge detector. Extraction of structural features from the intensity image of the object has been performed by the Hough transform technique and Canny edge detector. An approach using shape signatures has been proposed to detect corner points in the edge maps obtained using LoG detector as well as Canny detector. The extracted 3-D edge maps as well as the detected corner points have been mapped to 2-D plane. The methodology for manual fusion of edge maps with the help of affine transformation and the concept of automatic fusion of edge maps by affine transformation followed by iterative closest point (ICP) algorithm have been introduced in this work. The automated technique for fusion overcomes the drawbacks associated with manual fusion. The fusion algorithm provides a composite image with more accurate and reliable information about the important features of the object.

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Index Terms

Computer Science
Information Sciences

Keywords

Range image Intensity image Features Fusion Control point

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