Fast Morphological Image Processing Open-Source Extensions for GPU Processing with CUDA

Provided by: International Journal of Pure and Applied Research in Engineering and Technology (IJPRET)
Topic: Hardware
Format: PDF
GPU architectures offer a significant opportunity for faster morphological image processing, and the NVIDIA CUDA architecture offers a relatively inexpensive and powerful framework for performing these operations. However, the generic morphological erosion and dilation operation in the CUDA NPP library is relatively naive, and performance scales expensively with increasing structuring element size. This paper is to produce a freely available GPU capability for morphological operations so that fast GPU processing can be readily available to those in the morphological image processing community.

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