Title page for etd-0724101-155858


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URN etd-0724101-155858
Author Fu-Ming Tien
Author's Email Address tienfm@cse.nsysu.edu.tw
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Department Computer Science and Engineering
Year 2000
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Fractal-based Image Database Retrieval
Date of Defense 2001-07-10
Page Count 83
Keyword
  • fractal
  • image database
  • retrieval
  • Abstract With the advent of multimedia computer, the voice and images could be stored in database. How to retrieve the information user want is a heard question. To query the large numbers of digital images which human desired is not a simple task. The studies of traditional image database retrieval use color, shape, and content to analyze a digital image, and create the index file. But they cannot promise that use the similar index files will find the similar images, and the similar images can get the similar index files.
    In this thesis, we propose a new method to analyze a digital image by fractal code. Fractal coding is an effective method to compress digital image. In fractal code, the image is partitioned into a set of non-overlapping range blocks, and a set of overlapping domain blocks is chosen from the same image. For all range blocks, we need to find one domain block and one iteration function such that the mapping from the domain block is similar to the range block. Two similar images have similar iterated functions, and two similar iterated functions have similar attractors. In these two reasons, we use the iteration function to create index file. We have proved fractal code can be a good index file in chapter 3.
    In chapter 4, we implement the fractal-based image database. In this system, we used fractal code to create index file, and used Fisher discriminate function, color, complexity, and illumination to decide the output order.
    Advisory Committee
  • Jung-jae Chao - chair
  • Innchyn Her - co-chair
  • Yun-Lung Chang - co-chair
  • John Y. Chiang - advisor
  • Files
  • etd-0724101-155858.pdf
  • indicate in-campus access immediately and off_campus access in a year
    Date of Submission 2001-07-24

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