Title page for ETD etd-05302003-182013


Type of Document Master's Thesis
Author Trisiripisal, Phichet
Author's Email Address ptrisiri@vt.edu
URN etd-05302003-182013
Title Image Approximation using Triangulation
Degree Master of Science
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Abbott, A. Lynn Committee Chair
Beex, A. A. Louis Committee Member
Ha, Dong Sam Committee Member
Keywords
  • Image Approximation
  • Triangular Mesh
  • Level-of-Detail (LOD)
  • Wavelet Transform
  • Delaunay
  • Multiresolution Analysis (MRA)
  • Region-of-Interest (ROI)
  • Segmentation
  • Image Compression
  • Object Detection and Recognition
Date of Defense 2003-05-16
Availability unrestricted
Abstract
An image is a set of quantized intensity values that are sampled at a finite set of sample points on a two-dimensional plane. Images are crucial to many application areas, such as computer graphics and pattern recognition, because they discretely represent the information that the human eyes interpret. This thesis considers the use of triangular meshes for approximating intensity images. With the help of the wavelet-based analysis, triangular meshes can be efficiently constructed to approximate the image data. In this thesis, this study will focus on local image enhancement and mesh simplification operations, which try to minimize the total error of the reconstructed image as well as the number of triangles used to represent the image. The study will also present an optimal procedure for selecting triangle types used to represent the intensity image. Besides its applications to image and video compression, this triangular representation is potentially very useful for data storage and retrieval, and for processing such as image segmentation and object recognition.
Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  Thesis00_AbstractAndAcknowledgement.pdf 72.20 Kb 00:00:20 00:00:10 00:00:09 00:00:04 < 00:00:01
  Thesis01_ContentsAndListOfFiguresAndTables.pdf 172.02 Kb 00:00:47 00:00:24 00:00:21 00:00:10 < 00:00:01
  Thesis02_Chap1_Introduction.pdf 294.95 Kb 00:01:21 00:00:42 00:00:36 00:00:18 00:00:01
  Thesis03_Chap2_DiscreteWaveletTransform.pdf 865.55 Kb 00:04:00 00:02:03 00:01:48 00:00:54 00:00:04
  Thesis04_Chap3_BackgroundAndRelatedWork.pdf 519.76 Kb 00:02:24 00:01:14 00:01:04 00:00:32 00:00:02
  Thesis05_Chap4_WaveletBasedInitialTriangulation.pdf 342.39 Kb 00:01:35 00:00:48 00:00:42 00:00:21 00:00:01
  Thesis06_Chap5_LocalOperator.pdf 362.60 Kb 00:01:40 00:00:51 00:00:45 00:00:22 00:00:01
  Thesis07_Chap6_ResultAndPerformanceAnalysisPartA.pdf 1.89 Mb 00:08:46 00:04:30 00:03:56 00:01:58 00:00:10
  Thesis08_Chap6_ResultAndPerformanceAnalysisPartB.pdf 4.42 Mb 00:20:27 00:10:31 00:09:12 00:04:36 00:00:23
  Thesis09_Chap7_ConclusionAndFutureDirections.pdf 96.87 Kb 00:00:26 00:00:13 00:00:12 00:00:06 < 00:00:01
  Thesis10_Bibliography.pdf 98.08 Kb 00:00:27 00:00:14 00:00:12 00:00:06 < 00:00:01
  Thesis11_AppendixDataStructure.pdf 119.04 Kb 00:00:33 00:00:17 00:00:14 00:00:07 < 00:00:01
  Thesis12_Vita.pdf 43.61 Kb 00:00:12 00:00:06 00:00:05 00:00:02 < 00:00:01

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