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Mathematical morphology operations are applied in many real-time applications, such as video segmentation. For real-time requirement, efficient hardware implementation is necessary. This paper proposes a new architecture named Partial-Result-Reuse (PRR) architecture for mathematical morphological operations with flat structuring elements. Partial results generated during calculation process are kept and reused in this architecture to reduce hardware cost. With PRR concept and self-affinity property of structuring elements, the proposed architecture is more cost-effective and more general than existing morphology architectures. Moreover, it can be combined with systolic array to give consideration to both flexibility and hardware cost. We also propose a methodology to generate PRR architecture. With graphic method, the PRR architecture can be easily generated, and it can deal with structuring elements of any shape. The very large scale integration implementation of the PRR architecture shows that the area of processing element is small and can be fully piplelined without large overhead. The maximum frequency of the chip is 200 MHz in simulation, while processing speed of 550 morphological operations/s on a 720×480 frame can be achieved.