Morphological Image Processing Using Custom Instructions on Distributed Nios Processors
نویسندگان
چکیده
As a fundamental image processing block, morphological processing involves intensive computation and contributes significantly to an image processing system overhead. Depending on only spatially local data, several morphological operations can be implemented with parallel hardware to reduce the computation overhead. In this paper, we implement morphological image operations, which include dilation, erosion, and edge detection based on a 3x3 mask, on a distributed Altera NIOS soft core system. We also implement custom instructions to improve the system performance. Compared with a non-distributed system without custom instructions, the speedup of several morphological operations based upon the distributed system with custom instructions can reach 11.8. The system architecture and implementation details are presented.
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