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Adaptive bilateral extensor for image interpolation
(University of Missouri--Columbia, 2006)
A novel algorithm for image interpolation, referred to as adaptive bilateral extensor interpolation, is proposed in this thesis. It combines useful features of an extensor based algorithm, utilizing a non-linear mapping ...
Selected techniques for vehicle tracking and assessment in wide area motion imagery
(University of Missouri--Columbia, 2010)
Tracking of vehicles in wide area motion imagery (WAMI) is very important for civilian and military surveillance. Tracking in a dataset that is characterized by very large format video with an extremely wide field-of-view ...
Local and deep texture features for classification of natural and biomedical images
(University of Missouri--Columbia, 2019)
Developing efficient feature descriptors is very important in many computer vision applications including biomedical image analysis. In the past two decades and before the popularity of deep learning approaches in image ...
3D city scale reconstruction using wide area motion imagery
(University of Missouri--Columbia, 2018)
3D reconstruction is one of the most challenging but also most necessary part of computer vision. It is generally applied everywhere, from remote sensing to medical imaging and multimedia. Wide Area Motion Imagery is a ...
Real-time visualization of massive imagery and volumetric datasets
(University of Missouri--Columbia, 2006)
The visualization of extremely large multi-dimensional datasets requires highly scalable geometric algorithms. We consider an algorithm to be scalable if its complexity remains constant independent of the size of the ...
Analysis of flame images in gas-fired furnaces
(University of Missouri--Columbia, 2007)
A promising architecture is proposed in this research work for evaluating gasfired furnace flame combustion quality. The quality assessment is based on information on its fuel and oxidizer flow rate level which are the ...
Out-of-core image techniques with extensions for WAMI
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Out-of-core image techniques provide for interactive visualization, analysis, and processing of extremely large images exceeding primary memory. This ...
Curvilinear segmentation and classification of blood vessels using random forest and deep learning
(University of Missouri--Columbia, 2020)
Curvilinear structures occur in many biomedical imagery, and reliable segmentation and classification is crucial for automatic image analysis. In this dissertation, we consider optimized filter bank (OFB) features with ...
KOLAM : human computer interfaces fro visual analytics in big data imagery
(University of Missouri--Columbia, 2018)
In the present day, we are faced with a deluge of disparate and dynamic information from multiple heterogeneous sources. Among these are the big data imagery datasets that are rapidly being generated via mature acquisition ...
Sylview: a visualization system for forest management
(University of Missouri--Columbia, 2006)
In the field of forestry, the output of forest growth models provide a wealth of detailed information that can often be difficult to analyze and perceive due to presentation either as plain text summary tables or static ...