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This work proposes an implementation in Field Programmable Gate Array (FPGA) of the Otsu’s method applied to real-time tracking of worms called Caenorhabditis elegans. Real-time tracking is necessary to measure changes in the worm’s behavior in response to treatment with Ribonucleic Acid (RNA) interference. Otsu’s method is a global thresholding algorithm used to define an optimal threshold between two classes. However, this technique in real-time applications associated with the processing of high-resolution videos has a high computational cost because of the massive amount of data generated. Otsu’s algorithm needs to identify the worms in each frame captured by a high-resolution camera in a real-time analysis of the worm’s behavior. Thus, this work proposes a highperformance implementation of Otsu’s algorithm in FPGA. The results show it was possible to achieve a speedup up to 5 times higher than similar works in the literature.

Proposta de Implementação em Hardware do Algoritmo de Otsu Aplicado ao Rastreamento em Tempo Real de Vermes