Symmetry Detection Based on Gradient-Derived Information

碩士 === 國立交通大學 === 多媒體工程研究所 === 100 === In this thesis, computational processes for capturing the axis of symmetry and identifying the areas where symmetry exists will be report. The computation basically exploits such gradient-derived information as gradient strength and local homogeneity of...

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Bibliographic Details
Main Authors: Ho, Ming-Hung, 何明鴻
Other Authors: Lin, Cheng-Chung
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/18907241086315874927
Description
Summary:碩士 === 國立交通大學 === 多媒體工程研究所 === 100 === In this thesis, computational processes for capturing the axis of symmetry and identifying the areas where symmetry exists will be report. The computation basically exploits such gradient-derived information as gradient strength and local homogeneity of orientations, and consists of three phases of operations. (1)Areas of interests are determined by image contrast distribution. (2)Measures of bilateral-symmetry with respect to axes in various orientations are applied to areas of potential interests, through which axes with top five scores above threshold are preliminarily determined. (3)Based on gradient-derived information associated with interested pixels on both sides of the axes, further refinement is carried out to make the axial length more exact and to demarcate the extent of within which the symmetry exists more precisely. Through a series of experiments, the effects of the factors governed by adjusting the gradient-derived parameters are observed and the computation processes are then tuned accordingly, making the determination of axis and extent of symmetry visually satisfactory.