LI Mu, ZANG Xi-zhe, YAN Ji-hong, et al. A Wavelet Edge Detection Technique Based on Method of Minimum Interclass Variance and Fuzzy Algorithm[J]. Acta Electronica Sinica, 2008, 36(9): 1741-1745.
DOI:
LI Mu, ZANG Xi-zhe, YAN Ji-hong, et al. A Wavelet Edge Detection Technique Based on Method of Minimum Interclass Variance and Fuzzy Algorithm[J]. Acta Electronica Sinica, 2008, 36(9): 1741-1745.DOI:
A Wavelet Edge Detection Technique Based on Method of Minimum Interclass Variance and Fuzzy Algorithm
Whatever traditional wavelet edge detection technique was adopted
threshold was needed to filter candidate edge points for edge detection.However
threshold was obtained through experience presently
the best result was received after "cut and trial method" had been used repeatly
in addition
single-threshold calculation method can not accomplish accurate edge detection by now.These shortcomings restrict application of wavelet edge detection technique in practice.Aim at this problem
an algorithm of self-adaptive calculating double thresholds based on method of minimum interclass variance was proposed
and any parameter was not needing artificial setting .Fuzzy algorithm was adopted to link edge pixels
Theory and experiments showed that the algorithm was of validate and correct.