Image Processing by Variational Methods, Stochastic Programming and Deep Learning Techniques

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Image Processing by Variational Methods, Stochastic Programming and Deep Learning Techniques

This thesis is to investigate effective approaches to tackle different problems in computer vision: variational methods are first studied for image processing, illusory contour reconstruction and segmentation as well as their efficiency improvement. Next, we develop variational segmentation methods...

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Bibliographic Details
Main Author:	Tan, Lu
Format:	Thesis
Published:	Curtin University 2020
Online Access:	http://hdl.handle.net/20.500.11937/82126

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