Treffer: Arbitrary shape detection by genetic algorithms.

Title:
Arbitrary shape detection by genetic algorithms.
Contributors:
Wang, Tong., Chinese University of Hong Kong Graduate School. Division of Information Engineering.
Publication Year:
2005
Collection:
The Chinese University of Hong Kong: CUHK Digital Repository / 香港中文大學數碼典藏
Document Type:
Fachzeitschrift text
File Description:
print; xi, 69 leaves : ill.; 30 cm.
Language:
English
Chinese
Rights:
Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Accession Number:
edsbas.BDA60DA9
Database:
BASE

Weitere Informationen

Wang Tong. ; Thesis submitted in: June 2004. ; Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. ; Includes bibliographical references (leaves 64-69). ; Abstracts in English and Chinese. ; ABSTRACT --- p.I ; 摘要 --- p.IV ; ACKNOWLEDGMENTS --- p.VI ; TABLE OF CONTENTS --- p.VIII ; LIST OF FIGURES --- p.XIIV ; Chapter CHAPTER 1 --- INTRODUCTION --- p.1 ; Chapter 1.1 --- Hough Transform --- p.2 ; Chapter 1.2 --- Template Matching --- p.3 ; Chapter 1.3 --- Genetic Algorithms --- p.4 ; Chapter 1.4 --- Outline of the Thesis --- p.6 ; Chapter CHAPTER 2 --- HOUGH TRANSFORM AND ITS COMMON VARIANTS --- p.7 ; Chapter 2.1 --- Hough Transform --- p.7 ; Chapter 2.1.1 --- What is Hough Transform --- p.7 ; Chapter 2.1.2 --- Parameter Space --- p.7 ; Chapter 2.1.3 --- Accumulator Array --- p.9 ; Chapter 2.2 --- Gradient-based Hough Transform --- p.10 ; Chapter 2.2.1 --- Direction of Gradient --- p.11 ; Chapter 2.2.2 --- Accumulator Array --- p.14 ; Chapter 2.2.3 --- Peaks in the accumulator array --- p.16 ; Chapter 2.2.4 --- Performance of Gradient-based Hough Transform --- p.18 ; Chapter 2.3 --- Generalized Hough Transform (GHT) --- p.19 ; Chapter 2.3.1 --- What Is GHT --- p.19 ; Chapter 2.3.2 --- R-table of GHT --- p.20 ; Chapter 2.3.3 --- GHT Procedure --- p.21 ; Chapter 2.3.4 --- Analysis --- p.24 ; Chapter 2.4 --- Edge Detection --- p.25 ; Chapter 2.4.1 --- Gradient-Based Method --- p.25 ; Chapter 2.4.2 --- Laplacian of Gaussian --- p.29 ; Chapter 2.4.3 --- Canny edge detection --- p.30 ; Chapter CHAPTER 3 --- PROBABILISTIC MODELS --- p.33 ; Chapter 3.1 --- Randomized Hough Transform (RHT) --- p.33 ; Chapter 3.1.1 --- Basics of the RHT --- p.33 ; Chapter 3.1.2 --- RHT algorithm --- p.34 ; Chapter 3.1.3 --- Advantage of RHT --- p.37 ; Chapter 3.2 --- Genetic Model --- p.37 ; Chapter 3.2.1 --- Genetic algorithm mechanism --- p.38 ; Chapter 3.2.2 --- A Genetic Algorithm for Primitive Extraction --- p.39 ; Chapter CHAPTER 4 --- PROPOSED ARBITRARY SHAPE DETECTION --- p.42 ; Chapter 4.1 --- Randomized Generalized Hough ...