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Image Segmentation Using Subspace Representation and Sparse Decomposition
Başlık:
Image Segmentation Using Subspace Representation and Sparse Decomposition
Yazar:
Minaee, Shervin, author.
ISBN:
9780355991116
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (115 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Advisors: Yao Wang Committee members: Carlos Fernandez-Granda; Ivan Selesnick; Yao Wang.
Özet:
Image foreground extraction is a classical problem in image processing and vision, with a large range of applications.
In this dissertation, we focus on the extraction of text and graphics in mixed-content images, and design novel approaches for various aspects of this problem.
We first propose a sparse decomposition framework, which models the background by a subspace containing smooth basis vectors, and foreground as a sparse and connected component. We then formulate an optimization framework to solve this problem, by adding suitable regularizations to the cost function to promote the desired characteristics of each component. We present two techniques to solve the proposed optimization problem, one based on alternating direction method of multipliers (ADMM), and the other one based on robust regression. Promising results are obtained for screen content image segmentation using the proposed algorithm.
We then propose a robust subspace learning algorithm for the representation of the background component using training images that could contain both background and foreground components, as well as noise.
With the learnt subspace for the background, we can further improve the segmentation results, compared to using a fixed subspace.
Lastly, we investigate a different class of signal/image decomposition problem, where only one signal component is active at each signal element.
In this case, besides estimating each component, we need to find their supports, which can be specified by a binary mask.
We propose a mixed-integer programming problem, that jointly estimates the two components and their supports through an alternating optimization scheme.
We show the application of this algorithm on various problems, including image segmentation, video motion segmentation, and also separation of text from textured images.
Notlar:
School code: 1988
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(678824.1) | 678824-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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