Now showing items 1-4 of 4
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 ...
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 ...
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 ...
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 ...