Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini

Ellipse fitting is the process of finding the edge of the ellipse shape in an image. This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Ellipse Fitting is considered to be the ideal edge detection algorithm for i...

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Main Author: Rozaini, Tantty Roshaida
Format: Thesis
Language:English
Published: 2010
Online Access:https://ir.uitm.edu.my/id/eprint/64037/1/64037.PDF
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spelling my-uitm-ir.640372023-08-28T04:50:56Z Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini 2010 Rozaini, Tantty Roshaida Ellipse fitting is the process of finding the edge of the ellipse shape in an image. This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Ellipse Fitting is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. It consists of several steps that make this method as an optimal edge detector. The objective of this research is gained from understanding of the problem statement. This research intends to get the hereditary ratio of adolescents to parents based on lips features. The main idea of this research is to get the lips features from facial images before proceed to the next process which is comparison technique. In this research, technique selection is done by doing some literature review to find the best one and also studying about the algorithm of each technique has. The result of hereditary ratio will be gained by implementing difference of the distance value. 2010 Thesis https://ir.uitm.edu.my/id/eprint/64037/ https://ir.uitm.edu.my/id/eprint/64037/1/64037.PDF text en public degree Universiti Teknologi Mara (UiTM) Faculty of Computer and Mathematical Sciences Yusoff, Fakhrul Hazman
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Yusoff, Fakhrul Hazman
description Ellipse fitting is the process of finding the edge of the ellipse shape in an image. This process significantly reduces the amount of data in the image, while preserving the most important structural features of that image. Ellipse Fitting is considered to be the ideal edge detection algorithm for images that are corrupted with white noise. It consists of several steps that make this method as an optimal edge detector. The objective of this research is gained from understanding of the problem statement. This research intends to get the hereditary ratio of adolescents to parents based on lips features. The main idea of this research is to get the lips features from facial images before proceed to the next process which is comparison technique. In this research, technique selection is done by doing some literature review to find the best one and also studying about the algorithm of each technique has. The result of hereditary ratio will be gained by implementing difference of the distance value.
format Thesis
qualification_level Bachelor degree
author Rozaini, Tantty Roshaida
spellingShingle Rozaini, Tantty Roshaida
Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini
author_facet Rozaini, Tantty Roshaida
author_sort Rozaini, Tantty Roshaida
title Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini
title_short Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini
title_full Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini
title_fullStr Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini
title_full_unstemmed Hereditary traits based on lips analysis using Ellipse Fitting / Tantty Roshaida Rozaini
title_sort hereditary traits based on lips analysis using ellipse fitting / tantty roshaida rozaini
granting_institution Universiti Teknologi Mara (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/64037/1/64037.PDF
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