Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Younan, H. Nicolas
Committee Member
Stocker, Russell
Date of Degree
8-8-2009
Document Type
Graduate Thesis - Open Access
Major
Electrical Engineering
Degree Name
Master of Science (M.S.)
College
James Worth Bagley College of Engineering
Department
Department of Electrical and Computer Engineering
Abstract
In this thesis, algorithms for image registration and segmentation are developed to locate and identify DU penetrators and associated metal projectile debris on or near the surface at the US DoD firing ranges and proving grounds. The proposed registration algorithm supports fusing the LWIR and visible images. Control points are indentified by area-base detection and followed by eliminating outliers. Associated with bilinear interpolation, the gravity centers of control points are used to estimate the transformation parameters. The segmentation with a statistical detector is developed to improve the fusion result. The power spectrum density is invoked to extract and identify the image properties, and the probability of each pixel classified as target further the decision. The final result is consistent with the true vision and carries distinguished target information. The combination of registration and segmentation approaches can effectively orientate and investigate the target area.
URI
https://hdl.handle.net/11668/15474
Recommended Citation
Hu, Lequn, "Development and evaluation of image registration and segmentation algorithms for long wavelength infrared and visible wavelength images" (2009). Theses and Dissertations. 1387.
https://scholarsjunction.msstate.edu/td/1387