Open Science Research Excellence
@article{(International Science Index):,
  title    = {Improvements in Edge Detection Based on Mathematical Morphology and Wavelet Transform using Fuzzy Rules},
  author    = {Masrour Dowlatabadi and  Jalil Shirazi},
  country   = {Iran, Islamic Republic Of},
  institution={Young Researchers and Elite Club, Sabzevar Branch, Islamic Azad University, Sabzevar, Iran},
  abstract  = {In this paper, an improved edge detection algorithm
based on fuzzy combination of mathematical morphology and
wavelet transform is proposed. The combined method is proposed to
overcome the limitation of wavelet based edge detection and
mathematical morphology based edge detection in noisy images.
Experimental results show superiority of the proposed method, as
compared to the traditional Prewitt, wavelet based and morphology
based edge detection methods. The proposed method is an effective
edge detection method for noisy image and keeps clear and
continuous edges.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {5},
  number    = {10},
  year      = {2011},
  pages     = {1319 - 1324},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 58, 2011},