首頁 > 網路資源 > 大同大學數位論文系統

Title page for etd-0807113-135937


URN etd-0807113-135937 Statistics This thesis had been viewed 1104 times. Download 0 times.
Author Yan-Jiun Chen
Author's Email Address No Public.
Department Electrical Engineering
Year 2012 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 43
Title Adaptive Fuzzy Edge Detection Based on Gradient Features
Keyword
  • Edge Detection
  • Fuzzy
  • Fuzzy Logic
  • Edge
  • Edge
  • Fuzzy Logic
  • Fuzzy
  • Edge Detection
  • Abstract To improve the shortcomings of the traditional edge detection algorithm and increase the reliability of the edge information, this thesis proposes a new adaptive fuzzy edge detection algorithm based on the gradient features. First, we use Sobel operator to find the gradient of the image, and then calculate the maximum average gradient. Finally, we apply fuzzy system to detect the edges of images. The parameters of the proposed fuzzy edge detection algorithm are automatically optimized by maximizing of a performance index. The experimental results show that not only our proposed algorithm can detect edges but also its performance index is better than the other methods.
    Advisor Committee
  • Shuenn-Shyang Wang - advisor
  • Kuo-Ho Su - co-chair
  • Tsang-Long Pao - co-chair
  • Files indicate not accessible
    Date of Defense 2013-07-26 Date of Submission 2013-08-07


    Browse | Search All Available ETDs