A Circle Detection Method Based on Optimal Parameter Statistics in Embedded Vision

In this paper, we propose a circle detection method based on the optimal parameter statistics (OPSCD). Our method employs fast median filtering based Canny edge detection algorithm (FMFCanny) to obtain edge information. In addition, real-time three points determination circle detection is implemented in FPGA circuit which takes use of the optimal parameters statistics. In this algorithm, the pipeline processing of FIFO and parallelize operation of registers in FPGA detects single circle in videos. Experimental results show that the proposed method is more accurate and robust than the previous algorithm.