This paper attempts to give the novel approach of gray image processing using fuzzy morphological bidirectional associative memories. This approach utilizes kernel patterns to get the correct recalls from randomly noisy gray images. How to find appropriate kernel patterns is also investigated here. The experimental results on storing and recalling gray cell images demonstrate the validity of this approach.