Image segmentation for depth region identification

Several recent applications require landscape photographs to be divided into depth- regions (foreground, middleground, background, sky). Currently, this segmentation is done manually, since depth-perception is itself a very subjective area, and none of the recent advances in image segmentation cater...

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Main Author: Raghavan, Arvind
Other Authors: Martin Constable
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/51056
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-510562023-07-07T16:08:16Z Image segmentation for depth region identification Raghavan, Arvind Martin Constable Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Visual arts and music::Technique and composition DRNTU::Engineering::Mathematics and analysis::Simulations Several recent applications require landscape photographs to be divided into depth- regions (foreground, middleground, background, sky). Currently, this segmentation is done manually, since depth-perception is itself a very subjective area, and none of the recent advances in image segmentation cater specifically to the unique features of depth-planes in landscapes. A method to automate or semi-automate this segmentation would make these applications considerably less cumbersome, especially in areas where large volumes of images are to be analysed. This project explores the theory behind depth perception, the recent research done on landscape photographs and the currently dominant segmentation approaches, and proposes a method to effect depth-segmentation in landscape photographs. The proposed method isolates specific image attributes of interest to landscapes, such as inter-region contrast, intra-region contrast, lightness, saturation and hue, to arrive at effective parameters to identify these depth planes. This project also explores techniques that could enhance the segmentation results of the proposed method and presents the performance analysis from the evaluation of those techniques. Bachelor of Engineering 2013-01-03T04:14:22Z 2013-01-03T04:14:22Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/51056 en Nanyang Technological University 52 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::Visual arts and music::Technique and composition
DRNTU::Engineering::Mathematics and analysis::Simulations
spellingShingle DRNTU::Visual arts and music::Technique and composition
DRNTU::Engineering::Mathematics and analysis::Simulations
Raghavan, Arvind
Image segmentation for depth region identification
description Several recent applications require landscape photographs to be divided into depth- regions (foreground, middleground, background, sky). Currently, this segmentation is done manually, since depth-perception is itself a very subjective area, and none of the recent advances in image segmentation cater specifically to the unique features of depth-planes in landscapes. A method to automate or semi-automate this segmentation would make these applications considerably less cumbersome, especially in areas where large volumes of images are to be analysed. This project explores the theory behind depth perception, the recent research done on landscape photographs and the currently dominant segmentation approaches, and proposes a method to effect depth-segmentation in landscape photographs. The proposed method isolates specific image attributes of interest to landscapes, such as inter-region contrast, intra-region contrast, lightness, saturation and hue, to arrive at effective parameters to identify these depth planes. This project also explores techniques that could enhance the segmentation results of the proposed method and presents the performance analysis from the evaluation of those techniques.
author2 Martin Constable
author_facet Martin Constable
Raghavan, Arvind
format Final Year Project
author Raghavan, Arvind
author_sort Raghavan, Arvind
title Image segmentation for depth region identification
title_short Image segmentation for depth region identification
title_full Image segmentation for depth region identification
title_fullStr Image segmentation for depth region identification
title_full_unstemmed Image segmentation for depth region identification
title_sort image segmentation for depth region identification
publishDate 2013
url http://hdl.handle.net/10356/51056
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