Shape-simplifying image abstraction

The report documents a final year project at the School of Computer Engineering. In this project, a thorough study of algorithms for image abstraction is conducted to lay a foundation for the design and development of the Mean Curvature Flow (MCF) based framework. The framework demonstrates the cons...

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Main Author: Padmavathy
Other Authors: Deepu Rajan
Format: Final Year Project
Language:English
Published: 2011
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Online Access:http://hdl.handle.net/10356/46380
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-463802023-03-03T20:36:07Z Shape-simplifying image abstraction Padmavathy Deepu Rajan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision The report documents a final year project at the School of Computer Engineering. In this project, a thorough study of algorithms for image abstraction is conducted to lay a foundation for the design and development of the Mean Curvature Flow (MCF) based framework. The framework demonstrates the constrained MCF technique, in an iterative and incremental manner, to simplify the image content. This image simplification technique – which combines the constrained MCF and Shock filtering processing (to effectively produce a stylistic abstraction of an image) – is presented in the research paper ‘Shape- Simplifying Image Abstraction’ [1] by Henry Kang and Seungyong Lee. Image abstraction refers to the task of simplifying scene information in the image while retaining or emphasizing meaningful features to convey. A lot of research work have been conducted to study and invent image abstraction techniques such as image segmentation, curve fitting, mean curvature flow etc. The technique chosen to study in this first part of the project is an integral method which uses constrained MCF for simplifying image content (shape and color) and shock filtering to protect important structures in the image (shape boundary, edge). The study is conducted in two steps. Firstly, the combined MCF and shock filtering algorithm is investigated thoroughly to compare with other image abstraction methods, and identify the limitations. Secondly, the proposed framework for the improved MCF based method in the paper [1] is studied and analyzed carefully for design and development in the second part of the project. At the end of this part, the MATLAB program is implemented for the purpose of experimenting and comparing MCF method with existing methods for image abstraction. In the next part of the project, the constrained MCF based framework is implemented in MATLAB to demonstrate the iterative image evolution process. In this framework, the constrained MCF process is running in iterative manner and uses the smooth vector as a constraint to protect local image feature. The framework allows user to control the number of iterations – the level of abstraction – as well as the image area to be protected – not adversely affected by the simplification process. The motivation for the development of this framework is to fully understand the novel techniques for image simplification based on MCF and to provide a necessary tool for any further research of related MCF based technique. Bachelor of Engineering (Computer Science) 2011-12-05T07:31:47Z 2011-12-05T07:31:47Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46380 en Nanyang Technological University 59 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Padmavathy
Shape-simplifying image abstraction
description The report documents a final year project at the School of Computer Engineering. In this project, a thorough study of algorithms for image abstraction is conducted to lay a foundation for the design and development of the Mean Curvature Flow (MCF) based framework. The framework demonstrates the constrained MCF technique, in an iterative and incremental manner, to simplify the image content. This image simplification technique – which combines the constrained MCF and Shock filtering processing (to effectively produce a stylistic abstraction of an image) – is presented in the research paper ‘Shape- Simplifying Image Abstraction’ [1] by Henry Kang and Seungyong Lee. Image abstraction refers to the task of simplifying scene information in the image while retaining or emphasizing meaningful features to convey. A lot of research work have been conducted to study and invent image abstraction techniques such as image segmentation, curve fitting, mean curvature flow etc. The technique chosen to study in this first part of the project is an integral method which uses constrained MCF for simplifying image content (shape and color) and shock filtering to protect important structures in the image (shape boundary, edge). The study is conducted in two steps. Firstly, the combined MCF and shock filtering algorithm is investigated thoroughly to compare with other image abstraction methods, and identify the limitations. Secondly, the proposed framework for the improved MCF based method in the paper [1] is studied and analyzed carefully for design and development in the second part of the project. At the end of this part, the MATLAB program is implemented for the purpose of experimenting and comparing MCF method with existing methods for image abstraction. In the next part of the project, the constrained MCF based framework is implemented in MATLAB to demonstrate the iterative image evolution process. In this framework, the constrained MCF process is running in iterative manner and uses the smooth vector as a constraint to protect local image feature. The framework allows user to control the number of iterations – the level of abstraction – as well as the image area to be protected – not adversely affected by the simplification process. The motivation for the development of this framework is to fully understand the novel techniques for image simplification based on MCF and to provide a necessary tool for any further research of related MCF based technique.
author2 Deepu Rajan
author_facet Deepu Rajan
Padmavathy
format Final Year Project
author Padmavathy
author_sort Padmavathy
title Shape-simplifying image abstraction
title_short Shape-simplifying image abstraction
title_full Shape-simplifying image abstraction
title_fullStr Shape-simplifying image abstraction
title_full_unstemmed Shape-simplifying image abstraction
title_sort shape-simplifying image abstraction
publishDate 2011
url http://hdl.handle.net/10356/46380
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