Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim

Active Contours Model is an image processing technique which is efficient for automatic ear detection on a side face ear image. The technique first separates ear regions from the rest of the image and then envelops the ear within the image. Ear detection process involves three major steps. Initializ...

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Bibliographic Details
Main Author:	Muhamud Naim, Mohd Zulhelmi
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Image processing Bioengineering
Online Access:	https://ir.uitm.edu.my/id/eprint/14603/1/14603.pdf
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id	my-uitm-ir.14603
record_format	uketd_dc
spelling	my-uitm-ir.146032021-10-07T03:17:57Z Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim 2015 Muhamud Naim, Mohd Zulhelmi Image processing Bioengineering Active Contours Model is an image processing technique which is efficient for automatic ear detection on a side face ear image. The technique first separates ear regions from the rest of the image and then envelops the ear within the image. Ear detection process involves three major steps. Initialization process is done to determine the optimal location of the ear from the image. Then, the image is resized to allow faster iterations of the Active Contours. Next, iteration process of Active Contours Model to detect the boundary of the ear and segment the ear from the rest of the image. Then, ear multiplication to validate and compare the segmented ear whether it fits with the original image. To handle the detection of ears of various shapes and sizes, an ear template is created considering the ears of various shapes and resized automatically to a size suitable for the detection and iterations of the technique. The evaluation method for the accuracy is Area Overlap. The results shows an average of 74.55% for the left ear images and an average of 75.30% for the right ear images. The recommendations can be done by adjusting the initialization coordinate to a more optimized scale. 2015 Thesis https://ir.uitm.edu.my/id/eprint/14603/ https://ir.uitm.edu.my/id/eprint/14603/1/14603.pdf text en public other degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Image processing Bioengineering
spellingShingle	Image processing Bioengineering Muhamud Naim, Mohd Zulhelmi Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim
description	Active Contours Model is an image processing technique which is efficient for automatic ear detection on a side face ear image. The technique first separates ear regions from the rest of the image and then envelops the ear within the image. Ear detection process involves three major steps. Initialization process is done to determine the optimal location of the ear from the image. Then, the image is resized to allow faster iterations of the Active Contours. Next, iteration process of Active Contours Model to detect the boundary of the ear and segment the ear from the rest of the image. Then, ear multiplication to validate and compare the segmented ear whether it fits with the original image. To handle the detection of ears of various shapes and sizes, an ear template is created considering the ears of various shapes and resized automatically to a size suitable for the detection and iterations of the technique. The evaluation method for the accuracy is Area Overlap. The results shows an average of 74.55% for the left ear images and an average of 75.30% for the right ear images. The recommendations can be done by adjusting the initialization coordinate to a more optimized scale.
format	Thesis
qualification_name	other
qualification_level	Bachelor degree
author	Muhamud Naim, Mohd Zulhelmi
author_facet	Muhamud Naim, Mohd Zulhelmi
author_sort	Muhamud Naim, Mohd Zulhelmi
title	Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim
title_short	Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim
title_full	Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim
title_fullStr	Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim
title_full_unstemmed	Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim
title_sort	ear segmentation using active contours model / mohd zulhelmi muhamud naim
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/14603/1/14603.pdf
_version_	1783733300453441536

Ear segmentation using Active Contours Model / Mohd Zulhelmi Muhamud Naim

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