Removal of object's shadow

During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Object’ shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the...

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Main Author: Mat Ibrahim, Masrullizam
Format: Thesis
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/id/eprint/1779/1/MasrullizamMatIbrahimMED2006.pdf
http://eprints.utm.my/id/eprint/1779/
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spelling my.utm.17792018-04-27T01:09:58Z http://eprints.utm.my/id/eprint/1779/ Removal of object's shadow Mat Ibrahim, Masrullizam TK Electrical engineering. Electronics Nuclear engineering During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Object’ shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this project is divided into three parts; eliminating the surrounding objects of object interest, detecting shadows region and removing the object’s shadow. This project used moving object images to distinguish between object focusing and objects will be eliminated in image. Support Vector Machine (SVM) was used to classify the image into shadow and non-shadow region based on texture features. Then, the image of detected shadow region was differentiated with original image to remove the shadow. In this project, Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment 2006-05 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/1779/1/MasrullizamMatIbrahimMED2006.pdf Mat Ibrahim, Masrullizam (2006) Removal of object's shadow. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mat Ibrahim, Masrullizam
Removal of object's shadow
description During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Object’ shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this project is divided into three parts; eliminating the surrounding objects of object interest, detecting shadows region and removing the object’s shadow. This project used moving object images to distinguish between object focusing and objects will be eliminated in image. Support Vector Machine (SVM) was used to classify the image into shadow and non-shadow region based on texture features. Then, the image of detected shadow region was differentiated with original image to remove the shadow. In this project, Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment
format Thesis
author Mat Ibrahim, Masrullizam
author_facet Mat Ibrahim, Masrullizam
author_sort Mat Ibrahim, Masrullizam
title Removal of object's shadow
title_short Removal of object's shadow
title_full Removal of object's shadow
title_fullStr Removal of object's shadow
title_full_unstemmed Removal of object's shadow
title_sort removal of object's shadow
publishDate 2006
url http://eprints.utm.my/id/eprint/1779/1/MasrullizamMatIbrahimMED2006.pdf
http://eprints.utm.my/id/eprint/1779/
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score 13.23648