Image retrieval and characterisation by spatio-chromatic information

Pao Yue-kong Library Electronic Theses Database

Image retrieval and characterisation by spatio-chromatic information


Author: Lee, Sze-man Michelle
Title: Image retrieval and characterisation by spatio-chromatic information
Year: 2004
Subject: Hong Kong Polytechnic University -- Dissertations
Image processing -- Digital techniques
Department: Institute of Textiles and Clothing
Pages: xiv, 329 leaves : ill. (chiefly col.) ; 30 cm
Language: English
Abstract: The wide spread use of images attracts extensive studies in image indexing and retrieval in recent years. With dynamic growth of digital communication, the retrieval of image from thousands to millions of database is becoming a difficulty. There is an urgent need for an effective image-similarity algorithm for image retrieval. Image-similarity measurement plays a key role in developing image-retrieval system while human visual sensitivity provides the essential elements to construct such similarity algorithm. In order to have a better understanding of human perception in image-similarity judgment, numerous experiments were conducted for evaluating the similarity measurements of various complex images. This thesis proposes a hybrid image-retrieval model, the Spatio-chromatic Map, using the achromatic orientation-scale map to represent the spatial information and the 2D chromatic colour histogram intersection to represent the colour information. With an effective image feature representation, the spatio-chromatic map works successfully for retrieving image and predicting human perception in image-similarity measurement, regardless of image databases.

Files in this item

Files Size Format
b17811077.pdf 21.11Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.


Quick Search


More Information