With the introduction of fuzzy set theory by L. A. Zadeh in 1965 [l], there has been a significant progress in the area of visual and cognitive sciences. Fuzzy sets have been extensively used in computer vision and machine intelligence since then. Fuzzy set deals with the imprecision and vagueness embedded in human understanding systems and provides an elegant framework for describing, analyzing, and interpreting the vague and uncertain events. The human vision system is essentially a fuzzy system, since we can understand and interprete the imprecise visual world around us. In this chapter we will provide glimpses of fuzzy sets and some of its applications in image processing.