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Dissertation.pdf (4.09 MB)
ETD Abstract Container
Abstract Header
Automated Complexity-Sensitive Image Fusion
Author Info
Jackson, Brian Patrick
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright1421079359
Abstract Details
Year and Degree
2014, Doctor of Philosophy (PhD), Wright State University, Computer Science and Engineering PhD.
Abstract
To construct a complete representation of a scene with environmental obstacles such as fog, smoke, darkness, or textural homogeneity, multisensor video streams captured in diferent modalities are considered. A computational method for automatically fusing multimodal image streams into a highly informative and unified stream is proposed. The method consists of the following steps: 1. Image registration is performed to align video frames in the visible band over time, adapting to the nonplanarity of the scene by automatically subdividing the image domain into regions approximating planar patches 2. Wavelet coefficients are computed for each of the input frames in each modality 3. Corresponding regions and points are compared using spatial and temporal information across various scales 4. Decision rules based on the results of multimodal image analysis are used to combine the wavelet coefficients from different modalities 5. The combined wavelet coefficients are inverted to produce an output frame containing useful information gathered from the available modalities Experiments show that the proposed system is capable of producing fused output containing the characteristics of color visible-spectrum imagery while adding information exclusive to infrared imagery, with attractive visual and informational properties.
Committee
Arthur Goshtasby, Ph.D. (Advisor)
Jack Jean, Ph.D. (Committee Member)
Thomas Wischgoll, Ph.D. (Committee Member)
Lang Hong, Ph.D. (Committee Member)
Vincent Schmidt, Ph.D. (Committee Member)
Pages
97 p.
Subject Headings
Computer Engineering
;
Computer Science
Keywords
image registration
;
image fusion
;
stationary wavelet transform
;
entropy
;
image quality measures
;
fusion quality measures
;
adaptive image registration
;
multimodal image fusion
;
multimodal image processing
;
spatiotemporal analysis
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Citations
Jackson, B. P. (2014).
Automated Complexity-Sensitive Image Fusion
[Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421079359
APA Style (7th edition)
Jackson, Brian.
Automated Complexity-Sensitive Image Fusion.
2014. Wright State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright1421079359.
MLA Style (8th edition)
Jackson, Brian. "Automated Complexity-Sensitive Image Fusion." Doctoral dissertation, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421079359
Chicago Manual of Style (17th edition)
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Document number:
wright1421079359
Download Count:
698
Copyright Info
© 2014, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.