A new self-adaptive median-opening-closing(MOC) filter is proposed to remove the salt noise of images in this paper. The self-adaptive MOC filter is composed of a MOC filter and a learning optimizing module. In order to achieve the best effect of removing the salt noise

a group of sample images are given to the optimizing module for learning regularity of salt noise and a genetic algorithm is applied to the module to automatically adjust the structure of the MOC filter according to the result of the learning in the optimizing procedure. An optimized structure of MOC filter is generated at the end of the learning and optimizing process and then may be used as an optimized filter in practice for reducing the salt noise in image. Computer simulation experiments are done separately when image contain salt noise of different intensity. The results obtained in the simulation process show that using the self-adaptive MOC filter can achieve good effect of filtering the salt noise of the images compared to use individual median or morphological filter

specially when the image contain more salt noise. How to select parameters about the optimizing process is also discussed in this paper.