Edge detection algorithm of gear parts based on improved Canny and RCF
With the development of intelligent manufacturing,gears,as commonly used industrial components,their edge de-tection is crucial for ensuring part quality.The traditional Canny edge detection algorithm severely loses weak edge information,failing to meet the requirements for high-precision measurement.To enhance measurement accuracy,a method based on the fusion of improved Canny and RCF has been proposed.The algorithm first detects gear edges using the RCF network,then fuses the re-sults from the Canny algorithm with key edges detected by the improved RCF network to obtain the final edges.Experimental re-sults show that the improved algorithm achieves better accuracy and noise resistance in gear edge detection.
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