Sheikh Akbari, A. and Soraghan, J.J. (2003) Multiscale fuzzy reasoning (MFR) for object extraction. In: Visualization, Imaging, and Image Processing (VIIP 2003), 2003-09-08 - 2003-09-10, Benalmadena.
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
This paper describes a new Multiscale Fuzzy Reasoning (MFR) technique that is applied to automatic object extraction. The MFR utilizes skewed versions of an input frame. Each skewed frame is processed independently using fuzzy reasoning. The MFR achieves optimal edge detection using the wavelet decomposition of the signal followed by a novel fuzzy based decision technique that is applied across the scales. The resulting information is de skewed and combined using a fuzzy union operation. Results indicate a significant improvement in object extraction in undefined noisy environments using the MFR compared to object extraction using Mallat's multi scale technique
| Item type: | Conference or Workshop Item (Paper) |
|---|---|
| ID code: | 38610 |
| Keywords: | object extraction, fuzzy reasoning, wavelet transform, edge detection, MFR, multiscale, Electrical engineering. Electronics Nuclear engineering |
| Subjects: | Technology > Electrical engineering. Electronics Nuclear engineering |
| Department: | Faculty of Engineering > Electronic and Electrical Engineering Unknown Department |
| Related URLs: | |
| Depositing user: | Pure Administrator |
| Date Deposited: | 20 Mar 2012 16:50 |
| Last modified: | 04 Oct 2012 17:13 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/38610 |
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