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Oscillatory neural networks are a recent approach forapplications in image segmentation. In this context, theLEGION (Locally Excitatory Globally InhibitoryOscillator Network) is the most consistent proposal. Aspositive aspects, the network has got parallel architectureand capacity to separate the segments in time. On theother hand, the structure based on differential equationspresents high computational complexity and limitedcapacity of segmentation, which restricts practicalapplications. In this paper, a proposal of parallelarchitecture for implementation of an oscillatory neuralnetwork suitable for image segmentation is presented. Theproposed network keeps the positive features of theLEGION network, offering lower complexity forimplementation in digital hardware and capacity ofsegmentation not limited, as well as few parameters, withintuitive setting. Preliminary results confirm thesuccessful operation of the proposed network inapplications of image segmentation.