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Title page for etd-0903110-135145


URN etd-0903110-135145 Statistics This thesis had been viewed 1244 times. Download 5 times.
Author Yu-wei Chen
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2009 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 63
Title A Geometry-Distortion Resistant Image Detection System Based on Log-Polar Transform and Scale Invariant Feature Transform
Keyword
  • Geometry-Distortion
  • Image Detection System
  • Image Detection System
  • Geometry-Distortion
  • Abstract In many image detection systems, the detection results are superior to tamper distortion. However, the geometric distortions rearrange the feature positions, and this property often affects the results of feature comparison. In this thesis, the presented scheme aims at resisting the geometric distortions.
    The scheme contains the feature construction phase and the comparison phase. In the feature construction phase, the scheme extracts unique features from each protected image based on Log Polar Transform and Scale Invariant Feature Transform. In the comparison phase, the scheme extracts features from the suspect image to compare each protected image.
    Furthermore, this paper also focuses on similar image identification. There are two types of similar image that the scheme aims. The first type is that there are similar objects in two images. The second type is different view images. These two types of images are serious issue for feature comparison. Hence, this paper presents a scheme to solve this problem.
    Advisor Committee
  • Shang-lin Hsieh - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access only
    Date of Defense 2010-07-29 Date of Submission 2010-09-06


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