Fuzzy vector filters for microarray image enhancement

In this paper, the images of gene chips (microarray images) are enhanced applying the vector fuzzy filtering framework. Using a generalized fuzzy concept, we adaptively determine weights in the filtering structure and provide different filter designs. The strong potential of fuzzy adaptive filters for microarray image enhancement is illustrated with several examples. We demonstrate that the fuzzy vector filters are capable of reducing outliers present in microarray images and simultaneously preserve the spot edges. This can significantly help in spot detection and estimation of the gene expression level.