Application of improved adaptive bilateral filtering Canny operator in automated equipment
In order to improve the edge detection performance of lens images,increase the qualified rate of automated equipment assembly,a method based on adaptive bilateral filtering Canny operator detection is proposed.The bilateral filtering is used to process the image intensity changes to preserve edge information,and a weighted average is performed to remove noise,improve the edge details in the Canny operator detection image,suppress noise interference in non-edge areas,and then the filtering degree is adaptively adjusted to obtain more accurate edge detection results.Finally,the Huffman transformation is used to detect the center and incision position information of the lens image.The algorithm significantly improves the assembly efficiency and accuracy.The practical results of the equipment show that this algorithm provides an effective solution for lens automatic assembly equipment and has high practical value.
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维普
