Title :
Adaptive grayscale morphological filters for image noise smoothing
Author :
Wang, Qiaofei ; Neuvo, Yrjö
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
The authors find an optimal solution for designing a gray-scale morphological filter. An adaptive algorithm is developed for determining, from a given class of gray-scale morphological filters, a filter which minimizes the mean square error between its output and a desired process. The adaptation using the conventional least mean square algorithm optimizes the gray-scale structuring element in a given search area. The noise removal performance is compared to that of another class of nonlinear filters, i.e., adaptive and nonadaptive stack-based filters
Keywords :
adaptive filters; filtering and prediction theory; image processing; least squares approximations; adaptive gray scale morphological filters; image noise smoothing; image processing; least mean square algorithm; mean square error; stack-based filters; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Filtering; Gray-scale; Laboratories; Mean square error methods; Morphology; Shape; Smoothing methods;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236907
