Sheikh Akbari, A. and Soraghan, J.J. (2005) Multiscale fuzzy reasoning (MFR) for automatic object extraction. Pattern Recognition Letters, 26 (1). pp. 77-81. ISSN 0167-8655Full text not available in this repository. (Request a copy from the Strathclyde author)
A new Multiscale Fuzzy Reasoning (MFR) based image-processing technique for automatic object extraction is described. MFR utilizes skewed versions of an input frame wherein each skewed frame is processed independently using fuzzy reasoning. MFR achieves optimal edge detection using the wavelet decomposition followed by a novel fuzzy based decision technique. The processed frames are de-skewed and combined using a fuzzy union operation to extract the objects.
|Keywords:||automatic object extraction, fuzzy reasoning, multiscale edge detection, Electrical engineering. Electronics Nuclear engineering, Artificial Intelligence, Signal Processing, Software, Computer Vision and Pattern Recognition|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Strathprints Administrator|
|Date Deposited:||03 Nov 2008|
|Last modified:||22 Mar 2017 09:42|