Title :
An adaptive morphological filter for image processing
Author :
Cheng, F. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fDate :
10/1/1992 12:00:00 AM
Abstract :
Novel types of opening operator (NOP) and closing operator (NCP) are proposed. An adaptive morphological filter is then constructed on the basis of the NOP and NCP. The filter can remove any details consisting of fewer pixels than a given number N, while preserving the other details. Efficient algorithms are also developed for the implementation of the NOP and NCP
Keywords :
adaptive filters; filtering and prediction theory; image processing; mathematical morphology; adaptive morphological filter; closing operator; image processing; opening operator; Adaptive filters; Computational complexity; Image processing; Image sampling; Nonlinear filters; Shape;
Journal_Title :
Image Processing, IEEE Transactions on