ASIA unversity:Item 310904400/19042
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90452/105769 (86%)
Visitors : 11984697      Online Users : 873
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item:

    Title: Extracting periodicity of a regular texture based on autocorrelation functions
    Authors: 王玲玲;Wang, Ling-Ling
    Contributors: 資訊傳播學系
    Keywords: Regular texture;Texture primitive;Displacement vector
    Date: 1997-05
    Issue Date: 2012-11-26 15:16:17 (UTC+8)
    Abstract: A new approach to extracting periodicity of a regular texture based on autocorrelation functions is proposed in this paper. From the peaks in the autocorrelation function of an image, the displacement vectors and texture primitives in the image can be effectively determined. Moreover, the area of the extracted texture primitive is relatively small. This fact benefits in further processing of the image, such as data compression, feature extraction, and pattern analysis. The proposed approach needs no preprocessing, such as image thresholding or quantization, on the input image. However, it keeps tolerant to distortions in the texture, such as noises, intensity changes, and geometric variants. A synthesized texture with high regularity can be constructed by arranging the obtained texture primitives according to the displacement vectors. Experimental results support the effectiveness and efficiency of the proposed approach.
    Appears in Collections:[Department of Information Communication] Journal Article

    Files in This Item:

    File Description SizeFormat

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback