Announcement for Downloading full text filePlease respect the Copyright Act.
All digital full text dissertation and theses from this website are authorized the copyright owners. These copyrighted full-text dissertation and theses can be only used for academic, research and non-commercial purposes. Users of this website can search, read, and print for personal usage. In respect of the Copyright Act of the Republic of China, please do not reproduce, distribute, change, or edit the content of these dissertations and theses without any permission. Please do not create any work based upon a pre-existing work by reproduction, Adaptation, Distribution or other means.
URN etd-0809112-163938 Statistics This thesis had been viewed 1726 times. Download 623 times. Author Chih-duan Chen Author's Email Address No Public. Department Electrical Engineering Year 2011 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 52 Title ADAPTIVE FUZZY IMAGE ENHANCEMENT BASED ON EDGE DETECTION Keyword fuzzy image enhancement fuzzy image enhancement Abstract To overcome the drawbacks of the traditional Pal and King’s algorithm, a new algorithm of adaptive fuzzy image enhancement based on edge detection is proposed in this thesis. We apply the edge detection to find the edges of images and then set the mean of edges as the threshold to obtain the crossover point for edge preserving. Using the crossover point, we devise a new membership function and construct a new contrast intensification operator to achieve effective fuzzy image enhancement. The experimental results show that the proposed algorithm can enhance the contrast and preserve better details for different types of images. Advisor Committee Shuenn-shyang Wang - advisor
Files Date of Defense 2012-07-30 Date of Submission 2012-08-14