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In this paper we consider speedup potential of morphological image filteringon ARM processors. Morphological operations are widely used in image analysisand recognition and their speedup in some cases can significantly reduceoverall execution time of recognition. More specifically, we propose fastimplementation of erosion and dilation using ARM SIMD extension NEON. Theseoperations with the rectangular structuring element are separable. They wereimplemented using the advantages of separability as sequential horizontal andvertical passes. Each pass was implemented using van Herk/Gil-Werman algorithmfor large windows and low-constant linear complexity algorithm for smallwindows. Final implementation was improved with SIMD and used a combination ofthese methods. We also considered fast transpose implementation of 8x8 and16x16 matrices using ARM NEON to get additional computational gain formorphological operations. Experiments showed 3 times efficiency increase forfinal implementation of erosion and dilation compared to van Herk/Gil-Wermanalgorithm without SIMD, 5.7 times speedup for 8x8 matrix transpose and 12 timesspeedup for 16x16 matrix transpose compared to transpose without SIMD.

Fast Implementation of Morphological Filtering Using ARM NEON Extension