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Title page for etd-0826115-123414


URN etd-0826115-123414 Statistics This thesis had been viewed 1206 times. Download 67 times.
Author Tung-Cheng Chen
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2014 Semester 2
Degree Master Type of Document Master's Thesis
Language Chinese&English Page Count 80
Title Image Auto-Cropping using Star-Light and Color Saturation
Keyword
  • saliency map
  • saturation
  • star-light
  • star-light
  • saturation
  • saliency map
  • Abstract Automatic image cropping can be used to segment the main theme of an image on different platforms such as mobile phones, cameras, and web pages. For the same input image the results are different in various systems with the same function. Some of the results may even be completely different. However, we should not say the result is wrong because it involves personal sense of aesthetics. Different methods may focus on different topics like
    human faces or color contrast. Ma and Guo assessed regions based on entropy, size, and distance from the image center. Zhang et al. used face detection to find regions of interest.
    Yen and Lin used training set before auto-cropping. Cheng used color contrast to generate a saliency map for cropping. Focused object is usually the saliency regions in an image. Performance of edge detection are often the measurement of saliency map. Therefore, we use L*a*b color space to
    get color saturation value first and then use star-light mask to compare the pixel color saturation to generate an edge similar saliency map. Finally, calculate the pixel value for image cropping. Unlike ordinary well known Canny edges or Sobel edges, our method can generate better saliency map in which edges are kept while background edges are removed. Usability
    and reliability are higher than face-based detection or color contrast based approaches. In addition, we propose two algorithms to automatically crop the main theme from saliency map. Our algorithm is both simple and easy to understand. It is an creative development approach compared with other auto-cropping method.
    Advisor Committee
  • Chen-Chiung Hsieh - advisor
  • Chueh-Wei Chang - co-chair
  • Mu-Chun Su - co-chair
  • Tsang-Long Pao - co-chair
  • Files indicate access worldwide
    Date of Defense 2015-07-28 Date of Submission 2015-08-26


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