We proposed a novel framework of multiphase segmentation based on stochastic theory and phase transition theory. Our main contribution lies in the introduction of a constructed function so that its composition with phase function forms membership functions. In this way. it saves memory space and also avoids the general simplex constraint problem for soft segmentations. https://www.roneverhart.com/Aftermath-Cabernet-Sauvignon-Napa-Valley-2017/