关键词: 数学形态学, 轮廓结构元素形态学（CB形态学）, 图像滤波, 结构元素

Abstract: Preserving image details while filtering noise has been a hot research topic. The effect of morphological filtering depends on the selection of shapes and sizes of structural elements. The CB morphology to some extent weakens the impact of the structural elements on the results. But the outline of the large structures leads to noise amplification, and the smaller structure contour results in noise filtering ineffectively. It presents an improved CB morphological filter, that uses small structural elements, CB morphology and mathematical morphological. The results show that the effect of the filter to filter out salt and pepper noise is better than the median filtering or morphological noise filter, and that the filter can reserve better image details at the same time.

Key words: mathematical morphology, Contour Bougie（CB） morphology, image filtering, structural element