Morphological image processing has been widely used to process binary and grayscale images. To extend the concept to color images, an ordering of the data is required. In this work, an algorithm for color morphology is proposed and called the Mahalanobis Color Distance-based Morphological Ordering Algorithm. The proposed algorithm implements the Mahalanobis measure to replace the angle-valued ... [Show full abstract] pixels by a scalar, and, is based on a combination of reduced and conditional ordering of the underlying data. The proposed algorithm has been implemented with the main morphlological operators as well as with other opeartors such as: image smoothing (noise suppression), gradient and Laplacian operators.