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Elhusain_Saad.pdf (45.97 MB)
ETD Abstract Container
Abstract Header
Defocus Blur-Invariant Scale-Space Feature Extractions
Author Info
Saad, Elhusain Salem
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1418907974
Abstract Details
Year and Degree
2014, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical Engineering.
Abstract
We propose modifications to scale-space feature extraction techniques (Scale-Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF)) that make the feature detection and description invariant to defocus blur. Specifically, scale-space blob detection relies on the second derivative responses of images. Our analysis of defocus blur and its effect on scale-space blob detection suggests that fourth derivative and not the usual second derivative is optimal for detecting the blurred blobs while multi-scale descriptors of blurred blobs are effective at establishing correspondences between blurred images. The proposed defocus blur-invariant (DBI) scale-space feature extraction techniques which we refer to as DBI-SIFT and DBI-SURF do not require image deblurring nor blur kernel estimation, meaning that their accuracy does not depend on the quality of image deblurring. We offer empirical evidence of blur invariance by establishing interest point correspondences between sharp or blurred reference images and blurred target images.
Committee
Keigo Hirakawa (Advisor)
Pages
56 p.
Subject Headings
Electrical Engineering
Keywords
SIFT, SURF, DBI-SIFT, DBI-SURF
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Citations
Saad, E. S. (2014).
Defocus Blur-Invariant Scale-Space Feature Extractions
[Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1418907974
APA Style (7th edition)
Saad, Elhusain.
Defocus Blur-Invariant Scale-Space Feature Extractions.
2014. University of Dayton, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1418907974.
MLA Style (8th edition)
Saad, Elhusain. "Defocus Blur-Invariant Scale-Space Feature Extractions." Doctoral dissertation, University of Dayton, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1418907974
Chicago Manual of Style (17th edition)
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Document number:
dayton1418907974
Download Count:
485
Copyright Info
© 2014, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.