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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 ...